Title: Data Enrichment Engineer Job Description: We need an experienced Data Engineer to enrich a large database of B2B records with missing emails, phone numbers, names, titles, and LinkedIn profile URLs. You will: • Build a reliable enrichment pipeline using APIs from ZoomInfo, LinkedIn Sales Navigator (or partners like Evaboot), and Salesgear. • Handle CSV processing, deduplication, fuzzy matching, confidence scoring, and email/phone validation. • Implement sampled manual QA process and deliver clean, enriched data + reusable scripts. Requirements: • Strong Python or .NET/C# skills. • Proven experience with sales intelligence APIs • Experience processing large datasets (20k+ records). • Attention to data quality and compliance. Please share similar past projects and list which provider APIs you have implemented.

We are a boutique talent management agency in the gaming and live-streaming space seeking an experienced programmer to build an internal creator scouting and lead enrichment tool. Our team currently identifies and researches prospective streamers manually, which is slow and doesn't scale. We need an AI tool that automates the full pipeline: discovery, size filtering, platform cross-referencing, contact enrichment, blocklist screening, and export into Google sheets for outreach via GMass. Key Responsibilities: - Build a discovery layer that surfaces prospective streamers across three major video/streaming platforms (Twitch and YouTube), using official APIs where available. Platforms such as SullyGnome, StreamerStats, StreamsCharts, and Twitch Tracker are examples of the types of analytics we'd like to pull. - Filter and rank creators against configurable size thresholds, including average concurrent viewership, total airtime/hours streamed, follower count, and recency of activity. - Cross-reference each qualified creator against Kick.com to determine whether they already maintain an active presence there, and flag accordingly. - Enrich each remaining prospect with publicly listed contact emails pulled from channel/about pages, business inquiry fields, and linked social profiles (link-in-bio pages, X, Instagram, channel panels). - Screen every captured email domain against an editable blocklist of competing agencies and management companies we cannot approach, with the blocklist maintainable by a non-technical user. - Export qualified creators to Google Sheets in a column structure formatted for GMass, our existing email sequencing tool. - Handle deduplication against previously scouted creators, API rate limits, retries, and error logging, with the ability to run on a recurring schedule. The Ideal Candidate: - Extensive proven background in Python (or similar) building data pipelines. - Strong understanding of the Google Sheets API or Apps Script, including writing to a fixed schema that GMass can consume without cleanup. - A strong track record of shipping internal tools end-to-end: scoping, building, deploying, and handing off with documentation a non-technical operator can follow. - Excellent communication skills to translate technical constraints and platform limitations into clear tradeoffs for our team. - Working knowledge of email validation, data hygiene, and deduplication best practices is a strong plus. ***US only, must be willing to sign an NDA***

We are an early-stage company developing a road-hazard measurement system. We need a US-based technical contractor to collect real-world driving data: forward-facing road video paired with motion-sensor logs from an Android app we provide, driven over road defects that have documented municipal 311 reports. This is field work combined with light data extraction. It is not remote analysis and it is not software development. The most important qualification is precision. Data quality here depends entirely on consistent setup and repeatable execution — same mount position, same speeds, same route, every session. We are looking for someone with an engineering, QA, field-testing, or research background who understands why that matters and will flag deviations rather than paper over them. REQUIRED: YOUR CITY MUST PUBLISH 311 DATA A core part of this project is cross-referencing our sensor measurements against publicly reported road defects. You must be located in a US city that publishes 311 / service-request / road-defect data as downloadable open data (for example via an open data portal or SeeClickFix). We will ask you to link to it in your application. If your city does not publish this data, this project is unfortunately not a fit. SCOPE OF WORK Milestone 1 — 311 extract and route proposal (desk work, no driving) • Pull your city's open 311 / road-defect reports for the last 24 months • Deliver as a spreadsheet: report ID, date reported, location or coordinates, category or description, status, and date closed where available • Include the source URL and date pulled • From that data, propose a driving route covering 6-10 pothole locations, favoring reports that are still open or recently reported • Do not clean, filter, or interpret the underlying data — deliver it as extracted Milestone 2 — Setup and test session • Install our Android app and mount two phones per a written protocol we provide • Drive the proposed route once, making repeat passes over each target defect at specified speeds • Upload video and session data, plus a written session log Milestone 3 — Full collection (scope and price agreed after Milestone 2) • Additional sessions with repeat passes, per protocol We evaluate at each milestone before proceeding. Milestone 1 is the entry point for everyone. REQUIREMENTS • Located in the United States, in a city with published open 311 / road-defect data • Own vehicle, valid license and insurance • Android phone, Android 10 or newer, available to run our logging app (required — the app is not available on iOS) • Second phone capable of recording 1080p video • Two rigid phone mounts, or willingness to purchase them (reimbursed) • Comfortable with spreadsheets and downloading data from an open data portal • Able to follow a written technical protocol precisely and document any deviation NICE TO HAVE • Engineering, QA, field testing, or research background • Experience with accelerometer, IMU, or other sensor data • Familiarity with your municipality's open data portal or Open311 APIs WHAT WE PROVIDE • The Android logging application • A written field data collection protocol covering mounting, speeds, session procedure, and logging • Reimbursement for phone mounts and mileage • Coverage for any vehicle damage arising from the collection work A note on that last point, since we would rather be upfront: this work involves deliberately driving over road defects at moderate speeds. We consider damage unlikely at the speeds specified, but if anything happens to your vehicle during a session, we cover it. A short mutual NDA is signed before we share the application and protocol. Milestone 1 requires no confidential material from us. BUDGET Fixed price per milestone. Milestone 1 is posted at $75. Milestones 2 and 3 are agreed separately based on scope and are substantially larger. When you apply, please answer the three screening questions directly. Proposals that skip them will not be reviewed.

We are looking for an experienced data scientist or data strategy consultant to help us build a customer acquisition strategy targeting individuals in Arizona who have recently been involved in auto accidents. Scope of work: - Research and identify legally compliant, purchasable data sources (e.g., public accident/crash reports, licensed data broker feeds, insurance and legal referral networks, opt-in marketing lists) relevant to Arizona auto accident events - Evaluate vendors and data providers, comparing cost, coverage, refresh rate, and data quality - Advise on relevant compliance considerations (e.g., Driver's Privacy Protection Act, Arizona public records law, TCPA for outreach, state privacy statutes) and recommend a compliant approach - Recommend which data points/attributes would be most useful for targeting and segmentation - Help translate findings into an actionable acquisition strategy, including suggested channels and outreach approach Ideal candidate: - Strong background in data sourcing, data broker/vendor landscape, and lead generation - Familiarity with insurance, legal, or auto services marketing a plus - Working knowledge of relevant privacy and data compliance regulations - Comfortable presenting findings and strategic recommendations clearly Deliverables: - A written report of recommended data sources/vendors with pros, cons, and pricing - A summary of compliance considerations and recommendations - A proposed acquisition strategy outline based on the data Please include relevant experience with lead-generation data sourcing and any similar past projects in your proposal.