Data Engineer - Senior/Lead

Experteer Overview As a Data Engineer at Salesforce, you will translate complex data needs into scalable, trusted data pipelines that power product strategy. You’ll work closely with data scientists and strategy leads to design and implement end-to-end data architectures, enabling analysts and ML teams to deliver insights and models at scale. You will own data acquisition, quality, and the semantic layering that supports rapid decision-making across the business. This role offers a chance to shape data platforms at a company driving AI-powered customer success and workforce transformation. Compensation / Benefits * Plan and participate in design reviews and roadmaps with data scientists and strategy leads * Translate analytical requirements into performant SQL and scalable pipelines; coach on scalable patterns * Own data acquisition/integration solutions (batch and real-time) and build layered data stacks (raw * cleansed * curated * semantic) * Create design artifacts (functional designs, data flow diagrams, data models, schema contracts) for team-wide adoption * Build data pipelines, curated marts, semantic layers, and feature stores for analyst and data scientist use * Design fact/dimension models and end-to-end infrastructure for data science work (feature pipelines, training datasets) * Transform exploratory notebooks into production data flows; maintain reliability and monitoring * Co-own data quality, lineage, and trust; establish naming, docs, tests, reviews for smooth handoffs * Identify data quality/performance gaps; integrate disparate sources; advocate for architecture improvements * Perform data profiling, sampling, statistical testing, and reliability testing on data * Mentor on ETL/ELT design, dimensional modeling, and big data patterns; evaluate tooling * Bring SQL optimization and performance tuning for high-volume, parallel environments (SQL, Python, Airflow, AWS, Spark, Tableau, Hadoop; dbt, Snowflake, Databricks) * Participate in on-call rotation to address production data issues and ensure analytics readiness Tasks * 8+ years of experience in data engineering * Experience collaborating with data scientists and strategy analysts * Programmatic ETL/ELT pipelines with SQL-based tech * Solid databases knowledge within Salesforce environment * Data governance, verification, and documentation tools * Proficiency in Python and shell; translating business logic into SQL * Scripting, web scraping, and API data extraction abilities * Experience automating pipelines with Airflow * Adaptability to changing business direction and evolving designs * Production-level SQL and end-to-end data pipelines * Experience with Hadoop ecosystem * Evidence of technical leadership across data lake/warehouse/BI/big data products * Strong data modeling and high-volume ETL/ELT design * GitHub/Subversion and deployment tools (CI/CD) * Ability to thrive in unstructured, fast-paced, cross-functional teams * A technical degree is required Key requirements * time off programs * medical/dental/vision * mental health support * paid parental leave * 401(k) * employee stock purchasing program

to address production data issues and ensure analytics readiness Tasks * 8+ years of experience in data engineering * Experience collaborating with data scientists and strategy analysts * Programmatic ETL/ELT pipelines with SQL-based tech * Solid databases knowledge within Salesforce environment * Data governance, verification, and documentation tools * Proficiency in Python and shell; translating business logic into SQL * Scripting, web scraping, and API data extraction abilities * Experience automating pipelines with Airflow * Adaptability to changing business direction and evolving designs * Production-level SQL and end-to-end data pipelines * Experience with Hadoop ecosystem * Evidence of technical leadership across data lake/warehouse/BI/big data products * Strong data modeling and high-volume ETL/ELT design * GitHub/Subversion and deployment tools (CI/CD) * Ability to thrive in unstructured, fast-paced, cross-functional teams * A technical degree is required Key requirements

• time off programs * medical/dental/vision * mental health support * paid parental leave * 401(k) * employee stock purchasing program