Include Full Contact Jobs in San Francisco, CA

Junior (0‑2 yrs): $65k–$90k, Mid‑level (2‑5 yrs): $90k–$120k, Senior (5‑8 yrs): $120k–$160k, Lead (8+ yrs): $160k–$200k. These ranges reflect the tech‑heavy, data‑centric nature of the field.

Proficiency in Python, SQL, REST/GraphQL APIs, and ETL platforms such as MuleSoft or Talend. Data warehouse experience with Snowflake or BigQuery, data‑quality frameworks, and GDPR/CCPA compliance knowledge are key. Certifications like AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Salesforce Data Architecture, or CompTIA Data+ give a competitive edge.

Yes—most employers offer 100% remote or hybrid work models. Remote policies typically include flexible hours, virtual onboarding, and cloud‑based collaboration tools. Some roles still require occasional office visits for team meetings or data center access.

Starting as a Data Analyst or API Engineer, you can move into Data Engineering, then Data Science or ML Engineering. From there, product or project lead roles become available, eventually leading to Director or VP positions overseeing contact data strategy and technology.

AI‑driven contact enrichment, predictive scoring, and automated data‑quality checks are becoming standard. The API economy fuels demand for rapid integration, while growing privacy regulations force continuous compliance work. Cloud‑native data pipelines and real‑time analytics are the new baseline for competitive advantage.