Senior Data Engineer
New
S
ShadowMarketing technology
Source API remote eligibility restrictions: Brazil, India, Pakistan, Supporting a team in the EST time zone (9 AM–5 PM EST).Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLOAuthSnowflakeData modelingBigQuery
Requirements
- Experience building and operating large enterprise data pipelines engineered for scale, serving 1,000+ users or equivalent data volume or tenancy.
- Experience solving reliability, data isolation, and cost constraints at scale.
- Strong SQL and Python skills.
- Production experience with a modern data warehouse such as BigQuery, Snowflake, or Redshift.
- Deep familiarity with ETL/ELT patterns, incremental sync, schema design, and analytics data modeling.
- Experience building and maintaining third-party API integrations, including OAuth flows, pagination, rate limits, schema drift, and connector operations.
- A focus on pipeline observability and data quality.
- Experience building or operating within SOC 2-compliant systems.
- Experience handling sensitive customer data with access controls, encryption, data isolation, and auditability.
Responsibilities
- Build and scale ingestion across third-party marketing APIs, including authentication, extraction, rate-limit handling, backfills, and incremental sync.
- Design normalization and transformation pipelines that map platform-specific data into shared, queryable schemas.
- Own data reliability, including sync accuracy, freshness, coverage, and observability.
- Build systems that detect broken connections and anomalous data.
- Engineer performant, cost-efficient pipelines and storage for multi-tenant use.
- Implement strict data isolation, privacy, and compliance in data systems.
- Partner with AI and data-science teams to expose clean, well-modeled data for agent retrieval and reasoning.
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