Federal Data Operations Specialist (Canonical Company Lists, Upstream of CRM) Engagement Type Contract / Part-time Remote Ongoing or project-based, depending on workload Engagement: Fixed-price, per-deliverable (project-based) Role ObjectiveGraviton builds outbound and CRM systems on top of canonical company datasets.This role exists to create those datasets upstream of CRM, by correctly merging multiple raw data sources into clean, deterministic, company-level tables using stable identifiers.Accuracy, correctness, and discipline matter more than speed. Core Responsibilities You will: Merge multiple datasets with different levels of granularity into a single canonical table Enforce a primary identifier (e.g., UEI, CAGE, or equivalent) as the identity anchor Aggregate transaction-level data to the entity (company) level correctly Apply explicit join logic (inner, left, etc.) based on written rules Produce one-row-per-entity outputs suitable for reuse downstream Deliver clean, well-structured CSV outputs with no duplication All work happens before CRM, sales, or marketing systems. Required Core Competency (Non-Negotiable) You must be very comfortable with SQL and relational data concepts, including: GROUP BY and aggregation logic Join types and their implications Primary keys vs display fields Entity-level vs transaction-level data Deterministic merges (rules-based, not heuristic) You may execute work in SQL, Excel, or Google Sheets — but you must think in SQL terms. Working Style Expectations You follow SOPs exactly You do not invent logic or “clean things up” subjectively When rules are unclear or data conflicts exist, you stop and flag You prefer correctness over speed You surface data integrity risks early What This Role Is NOT This role does not include: CRM cleanup or deduplication inside HubSpot Contact enrichment (emails or phone numbers) Lead scoring or prioritization Marketing segmentation Outreach preparation Those functions occur after your work is complete. Required Skills & Experience Strong SQL knowledge (required) Experience merging and normalizing real-world datasets High attention to detail Comfortable working from written SOPs Clear communicator when flagging ambiguity or data issues Federal domain experience is not required. How to Apply Applicants should include: Brief description of prior data merge / normalization work Tools used (SQL dialects, Excel, Sheets, etc.) Confirmation that they are comfortable stopping and flagging issues rather than guessing