Hire the Best BigQuery Developers

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Rating is 4.8 out of 5.
4.8/5
Based on 730 client reviews
Abubakar A.

Ottawa, Canada

$58/hr
5.0
2 jobs

I build End-to-End data pipelines that feed your BI reporting systems like Slack and Looker Studio with up-to-date data, so you spend less time manually combining your data and more time analyzing your data. Client Results Developed a payroll processing data pipeline that processes $42,500/month in bonus payments for employees, cutting manual payroll processing work by 23 hours per week while increasing payroll accuracy. [ Pipeline: Google Sheets API โ†’ Python ETL Pipeline โ†’ Google Cloud run โ†’ Looker Studio] Created an automated pipeline that sends weekly PDF reports to enterprise clients for an industrial automation company, increasing LTC and decreasing enterprise customer churn. [Pipeline: API Ingestion โ†’ BigQuery โ†’ Make Automated for PDF report Generation โ†’ SendGrid Email Delivery] Reduced downtime of a production pipeline from 30 days to Nill by implementing log alerts in Google Cloud Platform, so stakeholders and developers get an email if a pipeline succeeds or fails. ๐Ÿ“Š What I can help you with. If your team is still exporting data to spreadsheets, manually combining them, and building the same report over and over again, and you can't trust the numbers, I can fix that. I specialize in end-to-end automated reporting systems for B2B companies in SaaS, hospitality, marketing agencies, fintech, and training platforms that need to deliver recurring reports to clients without the manual overhead. ๐Ÿ”„ How I build Automated End-to-End Data Pipelines I connect APIs, databases, and platforms (including PMS systems like NewBook and Cloudbeds) into centralized data warehouses like BigQuery and Azure using Python or managed ETL tools like Airbyte and Fivetran. Pipelines are orchestrated with Dagster, Airflow, or within Python and designed with monitoring, alerting, and CI/CD pipelines using GitHub Actions for reliability. ๐Ÿง  I build Clean, Reliable Data Models Using dbt(SQL) or Python, I transform and combine all your raw data from various sources into clean, structured, user/client-ready metrics with version control, testing, and documentation so your reporting logic is transparent, scalable, and accurate. ๐Ÿ“ˆ I built Live Dashboards that are Always Up-to-Date) I build Looker Studio (Data Studio) dashboards connected directly to BigQuery or your preferred database, so your clients and team always see live, accurate data without manual refreshes or outdated reports. It doesn't matter if your reports involve using marketing data from Google, Meta, or any other data source. I sit down with all my clients to get an exact list of KPIs, metrics, and charts that they want, so I can map out the data we need from all sources to build your dashboard or reporting system. ๐Ÿ—๏ธ Tech Stack **Cloud & Data:** Google Cloud Platform, Azure, BigQuery, Cloud Storage **Transformation & Orchestration:** dbt, Dagster, Python **CI/CD & Infrastructure:** GitHub Actions, pipeline automation **Visualization:** Looker Studio, Power BI **Automation:** Make, n8n, Airtable **Integrations:** Google Ads, Meta, GA4, APIs, PMS systems (NewBook, Cloudbeds) **Report Delivery:** SendGrid, Twilio, Slack ๐ŸŽฏ Who I Work With I work best with B2B companies that: * Deliver recurring reports to clients * Spend hours manually building or sending reports * Struggle with inconsistent or error-prone data * Need a scalable reporting system as they grow If you're manually exporting data, updating spreadsheets, or relying on analysts for repetitive reporting work, Iโ€™ll replace that with a system that runs automatically. ๐Ÿค How I Work I focus on building systems that are: * Reliable (monitored, tested, and automated) * Scalable (built to grow with your business) * Cleanly structured (no fragile hacks or shortcuts) * Easy to maintain (documented and production-ready) You wonโ€™t get a quick fix. Youโ€™ll get a system designed to work long-term. ๐Ÿ“ Portfolio & Experience Real examples of pipelines, dashboards, and automation systems available upon request. Letโ€™s Automate Your Reporting If you want to eliminate manual reporting, improve accuracy, and deliver better insights to your clients, letโ€™s build a system that does it automatically. ๐Ÿ“ฉ Send me a message and weโ€™ll map out your reporting pipeline.

  • BigQuery
  • Data Analysis
  • ETL Pipeline
  • Analytics Dashboard
  • Looker Studio
  • SQL
  • Python
  • Data Visualization
  • Google Sheets
  • Microsoft Power BI
  • Microsoft Excel
  • Dashboard
  • Marketing Analytics
  • Terraform
  • CI/CD
  • dbt
  • Data Migration
  • Data Modeling
  • Make.com
  • Spreadsheet Automation
Shantanu J.

Indore, India

$40/hr
5.0
168 jobs

๐Ÿ† TOP RATED PLUS Data Expert | Top 3% on Upwork ๐Ÿ’ฐ $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. Iโ€™ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. ๐Ÿ’ก What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) ๐Ÿ“ˆ Real Outcomes Iโ€™ve Delivered โœ” Built full marketing data warehouse โ†’ improved spend efficiency by 30%+ โœ” Fixed tracking & attribution โ†’ recovered lost revenue visibility โœ” Automated reporting โ†’ saved 20+ hrs/week for teams โœ” Delivered exec dashboards โ†’ faster, data-backed decisions ๐Ÿง  Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking โ†’ pipelines โ†’ dashboards โ†’ insights) - Strong communication + fast execution (no hand-holding needed) ๐Ÿ“ˆ My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. ๐Ÿ‘‰ Letโ€™s Work If youโ€™re looking for someone who can own your entire data stack and turn it into a revenue engine, letโ€™s talk. Click โ€œInviteโ€ and letโ€™s discuss your use case ๐Ÿš€ ----- ๐Ÿ” ๐—ž๐—˜๐—ฌ๐—ช๐—ข๐—ฅ๐——๐—ฆ GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

  • BigQuery
  • Amazon Web Services
  • Apache Airflow
  • Business Intelligence
  • Python
  • Google Tag Manager
  • SQL
  • Data Science
  • Looker Studio
  • Google Cloud Platform
  • Artificial Intelligence
  • Data Engineering
  • ETL Pipeline
  • Data Warehousing
  • Data Visualization
  • Tableau
  • Generative AI
  • AWS Lambda
  • Big Data
  • Amazon Redshift
Vebri S.

Jakarta, Indonesia

$25/hr
5.0
1 jobs

Are your data pipelines failing silently, or is your cloud data warehouse bill spiraling out of control? I help data teams and startups design, build, and optimize reliable modern data platforms across AWS and GCP - ensuring zero data loss, predictable pipeline runs, and cost-efficient query performance. Core Focus Areas & Solutions: - Pipeline Orchestration & Modeling: Production-grade Apache Airflow DAGs, dbt transformations, modular ELT architectures. - Data Lake & Warehouse Design: Modern storage and modeling on Amazon Redshift, BigQuer, and S3. - Cost & Performance Optimization: Partitioning/clustering tuning, cluster resizing, query debugging, and infrastructure refactoring to reduce monthly cloud spend. - Automated & Resilient Ingestion: CDC ingestion, API connectors, error handling, automated alerts, and schema evolution handling. Tech Stack: Cloud: AWS (S3, Redshift, ECS, Lambda, IAM), GCP (BigQuery, Cloud Storage, GCF) Data Tools: Apache Airflow, dbt, Docker, Airbyte, Kafka Languages: Python (Pandas, Polars, PySpark), Advanced SQL, Bash Whether you need to migrate legacy pipelines, fix brittle ETL workflows, or optimize your data warehouse infrastructure from the ground up, let's connect and discuss your architecture.

  • BigQuery
  • Data Engineering
  • Data Lake
  • Data Ingestion
  • ETL
  • Python
  • SQL
  • Apache Airflow
  • Google Cloud Platform
  • Amazon Web Services
  • Amazon Redshift
  • Data Warehousing
  • Data Integration
  • dbt
  • Kubernetes
Thong P.

Ho Chi Minh City, Vietnam

$40/hr
5.0
11 jobs

I help SMEs turn messy, scattered data from SaaS apps, spreadsheets, and ERPs into dashboards and reporting systems. Saving hours of manual and guesswork. Ex-Demand Planner, I used to build data systems to survive my operations role. Connecting messy SaaS, ERP, and CRM data to get the business answers. Now I design end-to-end solutions for businesses: automated pipelines, clean models, real time and reliable reporting.

  • BigQuery
  • Microsoft Power BI
  • API Integration
  • Python
  • Data Model
  • SQL
  • dbt
  • PostgreSQL
  • Data Visualization
  • Data Engineering
  • ETL
  • API
  • Svelte
  • HTML5
  • CSS
  • Cloud Computing
  • Cloud Database
  • Database Architecture
Varun S.

Panchkula, India

$40/hr
5.0
53 jobs

Are you searching for a skilled and accomplished Data Engineering and Data Visualization Specialist to bring life to your data and empower your decision-making process? Look no further! As a Top Rated Data Engineer with over 8 years of hands-on experience in Database technologies, ETL, and Visualization, I am here to make your data work for you. ๐–๐ก๐ฒ ๐œ๐ก๐จ๐จ๐ฌ๐ž ๐ฆ๐ž? โœ… Proven Track Record: With a portfolio boasting 100+ successful Data Visualization Projects, including Fortune 500 clients, I have a strong foundation in delivering top-notch solutions. โœ… Outstanding Reviews: I take immense pride in receiving top reviews for my work both on and off Upwork, reflecting my dedication to excellence. โœ… Client Satisfaction: I am thrilled to have achieved 100% client satisfaction and have nurtured long-term relationships with most of my clients, ensuring their data needs are met effectively. โœ… Global Reach: With 50+ Happy Clients worldwide, I have established myself as a reliable partner in data visualization projects. ๐๐จ๐ญ๐š๐›๐ฅ๐ž ๐’๐ญ๐š๐ญ๐ฌ ๐จ๐ง ๐”๐ฉ๐ฐ๐จ๐ซ๐ค: ๐Ÿฅ‡Top-Rated Plus ๐Ÿฅ‡Top 1% - Tableau ๐Ÿฅ‡Top 1% - Data Visualization ๐Ÿฅ‡Top 1% - Data Analysis ๐Ÿฅ‡Top 1% - SQL ๐Œ๐ฒ ๐„๐ฑ๐ฉ๐ž๐ซ๐ญ๐ข๐ฌ๐ž: Data Visualization: As a specialist in data visualization, I am well-versed in harnessing the power of visualization tools like Tableau, PowerBI, and Google Data Studio to create intuitive and impactful dashboards. Whether you need insightful visualizations for Sales, Marketing, Finance, HR, or Customer Support, I have got you covered. Database Technologies: My proficiency in SQL, Snowflake, Teradata, DynamoDB, S3, and Firebase ensures seamless data handling and organization. ETL Technologies: Using tools like Alteryx, R, Python, Excel, and Google Sheets, I skillfully extract, transform, and load data to make it readily available for visualization. API Integration: I can facilitate smooth API integration, ensuring a seamless flow of data from various sources to your visualization dashboards. ๐‚๐ฅ๐ข๐ž๐ง๐ญ ๐…๐ž๐ž๐๐›๐š๐œ๐ค: Tableau Vizualization Analyst needed to create Reports and Dashboard from RedShift data Sources โญโญโญโญโญ "Varun and his team has been a pleasure to work with. Excellent communication, highly professional and always ready to help! We were working with tight deadlines to deliver a high-quality, visually appealing dashboard that could handle large data volume. They delivered on all fronts and ensured that the final product was up to our expectations. If you are looking for a Tableau expert to help you out, I'd highly recommend you to reach out to Varun!" Tableau and Power BI Expert โญโญโญโญโญ "Varun and his team did a wonderful job. They were responsive and dedicated and ensured that the end product was delivered as per expectations despite unforeseen challenges. Would definitely recommend working with them" Tableau Dashboard โญโญโญโญโญ "Amazing Tableau developers. Went over and beyond. Great communication" ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ ๐ƒ๐ž๐ฅ๐ข๐ฏ๐ž๐ซ๐ฒ ๐Œ๐ž๐ญ๐ก๐จ๐๐จ๐ฅ๐จ๐ ๐ฒ Requirement Gathering โ†’ Dashboard Design Development โ†’ Data Preparation โ†’ Dashboard Development โ†’ Testing and Quality Assurance โ†’ Client Feedback โ†’ Training & Documentation. ๐‹๐ž๐ญ'๐ฌ ๐‚๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ž: If you seek a motivated, self-starter who gets the job done and makes your life easier, I am the perfect partner for your data visualization journey. Whether it's developing end-to-end data pipelines or creating visually compelling dashboards, I am ready to bring my expertise to your projects. Reach out to me, and let's have a chat about how I can elevate your data visualization game and help you make informed decisions with confidence. Thank you for considering my profile, and I'm excited to work with you!

  • BigQuery
  • SQL
  • Microsoft Excel
  • Python
  • Data Visualization
  • Data Analysis
  • Looker Studio
  • Dashboard
  • Microsoft Power BI
  • Tableau
  • Business Intelligence
  • Google Analytics
  • API Integration
  • Presentations
  • Analytics
Abdul W.

Lahore, Pakistan

$50/hr
5.0
61 jobs

We build internal tools that help growing companies run their operations more efficiently. As an ๐—ข๐—ณ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฎ๐—น ๐—ฅ๐—ฒ๐˜๐—ผ๐—ผ๐—น ๐—ฃ๐—ฎ๐—ฟ๐˜๐—ป๐—ฒ๐—ฟ and ๐—ฌ๐—– ๐—ฎ๐—น๐˜‚๐—บ ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐˜๐—ฒ๐—ฎ๐—บ, we design custom internal applications, automate business workflows, and build reliable data platforms that become your team's single source of truth. Most companies don't need another piece of software; they need better systems. Disconnected spreadsheets, manual processes, unreliable reporting, and repetitive admin work eventually slow every business down. We solve these challenges by building software that connects your operations, automates repetitive work, and gives your team the tools they need to scale. We combine product thinking with engineering. Before writing code, we take the time to understand your business so we can build solutions that fit your processes today and continue to support your growth tomorrow. ๐—ช๐—ต๐—ฎ๐˜ ๐—ช๐—ฒ ๐—•๐˜‚๐—ถ๐—น๐—ฑ โžœ Internal Tools We build custom operational software using Retool and React for finance, operations, customer success, logistics, sales, and support teams. Examples include: โ€ข Operations dashboards โ€ข Admin portals โ€ข CRM back offices โ€ข ERP interfaces โ€ข Approval workflows โ€ข Inventory and reporting systems โžœ AI Automation We automate business processes using n8n, Python, AI Agents, OpenAI, Anthropic Claude, and LLM-powered workflows. From document processing and approvals to reporting, notifications, and customer operations, we build automation that saves time, reduces errors, and allows your team to focus on higher-value work. โžœ Data Engineering Reliable software starts with reliable data. We build modern data infrastructure using BigQuery, dbt, Airbyte, Fivetran, SQL, and custom ETL/ELT pipelines that power analytics, reporting, LLM applications and AI solutions. ๐—ฆ๐—ฒ๐—น๐—ฒ๐—ฐ๐˜๐—ฒ๐—ฑ ๐—–๐—น๐—ถ๐—ฒ๐—ป๐˜ ๐—ช๐—ผ๐—ฟ๐—ธ โžœ Vergo (FinTech / Construction) Built a financial operations platform that unified ERP and CRM data into a single source of truth. Highlights: โ€ข Built custom Retool applications for WIP tracking and percentage-of-completion accounting. โ€ข Developed an ML-powered revenue forecasting engine. โ€ข Automated data validation using AI Agents, LLM-powered workflows, and n8n. โ€ข Delivered real-time financial reporting across multiple systems. โžœ Sully (Healthcare) Designed and built an automated billing and operations platform. Highlights: โ€ข Built a Retool adjustment layer with a complete audit trail. โ€ข Automated billing and usage tracking. โ€ข Implemented anomaly detection with real-time alerts. โ€ข Reduced manual operational work through workflow automation. โžœ QueenRx (Weightcare) Built internal platforms and automation for high-growth businesses. Highlights: โ€ข Developed Retool dashboards using React and GraphQL. โ€ข Automated customer and patient workflows. โ€ข Integrated Stripe, Webflow, PostgreSQL, BuildShip, and third-party APIs into unified operational systems. ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฒ๐˜€ โžœ Internal Tools Retool โ€ข React โ€ข Looker โ€ข PowerBI โ€ข Metabase โžœ Automation n8n โ€ข Make โ€ข Python โ€ข AI Agents โ€ข OpenAI โ€ข Anthropic Claude โžœ Data SQL โ€ข PostgreSQL โ€ข BigQuery โ€ข dbt โ€ข Airbyte โ€ข Fivetran โžœ Integrations REST APIs โ€ข GraphQL โ€ข Stripe โ€ข Shopify โ€ข Supabase โžœ AI OpenAI โ€ข Anthropic Claude โ€ข LLMs โ€ข RAG โ€ข Weaviate โžœ Low-code / No-code Bubble io โ€ข Webflow โ€ข Framer "They demonstrated exceptional skills not only as developers but also as true product thinkers, executing with speed and precision." โ€” Rich, CEO, Vergo We enjoy working with teams that are building for long-term growth. If that sounds like your business, we'd love to hear about what you're working on. ๐—™๐—ฒ๐—ฒ๐—น ๐—ณ๐—ฟ๐—ฒ๐—ฒ ๐˜๐—ผ ๐—ฟ๐—ฒ๐—ฎ๐—ฐ๐—ต ๐—ผ๐˜‚๐˜ ๐Ÿ“ฉ .

  • BigQuery
  • AI Agent Development
  • Automation
  • n8n
  • Python
  • SQL
  • Data Engineering
  • ETL Pipeline
  • API Integration
  • REST API
  • React
  • GraphQL
  • PostgreSQL
  • Bubble.io
  • Data Analytics & Visualization Software
  • Analytics Dashboard
  • Low-Code Development
  • AI App Development
  • Supabase
  • Web Application

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What does a BigQuery developer do?

A BigQuery developer builds and manages datasets, tables, and SQL-based workflows on Google BigQuery to ingest, transform, and serve data for analytics and reporting. This role focuses on writing optimized queries that handle massive volumes of information without slowing down analysis. You design the underlying structure of data storage to support fast retrieval and accurate business insights. Your work connects raw data sources to visualization tools through reliable, automated pipelines.

  • Write and optimize BigQuery SQL queries for interactive or batch execution to support complex analytical needs. You refine syntax to reduce processing costs and improve response times for end users who rely on timely data. This involves creating reusable SQL functions that standardize calculations across multiple reports and dashboards. Your code must handle large-scale joins and aggregations while maintaining clarity for future maintenance.
  • Design data models in BigQuery datasets and tables, including strategic partitioning and clustering configurations. You define schemas that organize information logically, ensuring that queries scan only the necessary bytes rather than entire tables. This structural work prevents performance bottlenecks as data volume grows over time. You also manage access controls via Google Cloud IAM to keep sensitive datasets secure and governed.
  • Implement data ingestion and movement using BigQuery jobs and scheduled transfers to keep information current. You configure the BigQuery Data Transfer Service to automate recurring data delivery from external sources or other Google Cloud services. This process includes setting up load jobs for bulk imports and export jobs for archiving results. You monitor these operations to catch failures early and maintain data integrity throughout the pipeline.

How to hire a BigQuery developer on Upwork

Step 1: Post a job

Define your data infrastructure needs clearly to attract qualified candidates who specialize in Google Cloud analytics. Use the Job Post Generator powered by Umaโ„ข, Upwork's Mindful AI to draft a precise description. Describe your requirements in a few sentences and Uma drafts a job post for the role. You can write a new post, update a saved draft, or reuse an existing post.

  • Specify requirements for writing optimized BigQuery SQL queries for interactive or batch execution.
  • List experience with designing data models that include partitioning and clustering strategies.
  • Request familiarity with BigQuery Data Transfer Service for scheduling recurring data delivery.

Step 2: Evaluate candidates

Review portfolios for evidence of scalable dataset management and efficient query performance. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess technical fit quickly.

  • Look for examples of BigQuery datasets and tables with appropriate schema setups.
  • Check for operational BigQuery jobs that load, query, export, or copy large volumes of data.
  • Verify experience connecting query results to BI tools like Looker or Google Sheets.

Step 3: Interview your top choices

Discuss specific approaches to data ingestion and transformation workflows during your conversations. Interviews can be scheduled and conducted within Upwork Messages with an immediate transcript and summary after each one.

  • Ask how they manage access via Google Cloud IAM for governed datasets.
  • Discuss their method for transforming data using SQL query syntax or the BigQuery DataFrames API.
  • Explore their process for optimizing resource usage during complex analytical queries.

Step 4: Agree on scope and begin work

Set clear milestones for dataset creation and query optimization before starting the engagement. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.

  • Define deliverables such as DTS transfer configurations for scheduled data delivery.
  • Agree on outputs like dashboards backed by BigQuery query results.
  • Establish criteria for reusable SQL functions and optimized batch processes.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a BigQuery developer cost?

$500-$2,500 per project is a typical range for focused BigQuery developer work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Schema design and setup

$500-$1,200/project

Entry-level to mid-level
  • Configured datasets with partitioning and clustering rules
  • Defined schemas for incoming data sources
  • Applied IAM roles for governed dataset access

SQL query optimization

$1,200-$2,500/project

Mid-level
  • Rewritten SQL for reduced slot usage and faster execution
  • Created standard SQL functions for common transformations
  • Documented before-and-after execution metrics

Data ingestion pipelines

$2,500-$4,500/project

Mid-level to senior-level
  • Scheduled BigQuery Data Transfer Service jobs for incremental loads
  • Automated scripts for batch data imports from cloud storage
  • Implemented logging and retry logic for failed transfers

Advanced data modeling

$4,500-$7,000/project

Senior-level
  • Built star or snowflake schemas for analytical reporting
  • Developed complex SQL transformations using BigQuery DataFrames API
  • Mapped data lineage and business logic for stakeholder review

End-to-end analytics integration

$7,000-$12,000/project

Expert-level
  • Connected Looker or Google Sheets to optimized BigQuery views
  • Published interactive reports backed by live query results
  • Established comprehensive access policies and audit trails

Frequently asked questions

Is hiring a BigQuery developer worth it?

For most businesses, yes: hiring a BigQuery developer is worthwhile. This specialist writes optimized SQL queries and configures partitioned tables to reduce query costs and improve speed. They also set up automated data transfers so your analytics remain current without manual intervention.

How do I evaluate BigQuery developer candidates?

Review their approach to query optimization and data modeling in Google Cloud. Ask them to explain how they use partitioning and clustering to lower scan bytes for large datasets. A strong candidate describes specific techniques for reducing query execution time and cost.

What tools does a BigQuery developer use?

A BigQuery developer uses GoogleSQL syntax to write queries and manage datasets within the platform. They also configure the BigQuery Data Transfer Service for scheduled loads and connect results to visualization tools like Looker or Google Sheets.

Can a BigQuery developer help with data migration?

Yes, they build jobs to load, export, or copy data between storage systems and BigQuery tables. They map source schemas to destination tables and validate data integrity during the transfer process.