Data Engineer II - (Remote)
$118,000–$156,000 year
RemoteUnited States
Job Summary
Implement ingestion pipelines and Airflow DAGs from senior engineer designs, including writing code, unit tests, and documentation. Support data security and governance work such as PII masking and access controls, while contributing to reverse ETL integrations under guidance. Add and extend fields in existing pipelines, incorporate review feedback, and take oncall pages for pipeline failures using runbooks. Pair with senior engineers on data integrity issues, write clear PR descriptions, and flag blockers early with context. Build relationships with internal stakeholders to gather requirements and conduct code inspections. Mentor junior engineers as you grow into the role.
Required Qualifications
- 1–3 years of professional software or data engineering experience
- A self-learner with a strong ability to gather, evaluate, and analyze requirements
- Solid foundation in Python
- Deep understanding of SQL
- Deep understanding of ETL/ELT for complex data transformations
- Comfort reading and writing unit tests
- Working within an established codebase and conventions
- Familiarity with workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
- Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
- Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
- Familiarity with Git-based version control and PR-based code review workflows
- Strong communication skills — asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
- A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
- Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
Desired Qualifications
- Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
- Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
- Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
- Exposure to PII masking, data security, or RBAC/access governance concepts
- Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
- Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
- Familiarity with responsible handling of customer/PII-sensitive data
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.