This is a fully remote position, open to applicants in United States.

• Become a part of a people-centric organization where skilled professionals create impactful products.

• Collaborate with a team that prioritizes support, trust, and empowerment.

• Leverage robust engineering, design, and strategic skills to achieve greater results.

• Strive for long-term objectives in a collaborative setting.

• Expertise in data pipeline, ETL, and ELT engineering.

• Proficiency in data orchestration and workflow management.

• Familiarity with medallion and lakehouse architectures (Bronze → Silver → Gold).

• Experience in database and warehouse migration (OLTP → OLAP).

• Strong skills in data modeling.

• Knowledge of data quality, validation, and data contracts.

• Understanding of data integrity and idempotency (deterministic IDs, exactly-once semantics).

• Experience with Change Data Capture (CDC) and event-driven pipelines.

• Competence in observability, monitoring, and alerting.

• Skilled in orchestration tools like Dagster (as well as Airflow and Prefect).

• Knowledge of data warehouses and OLAP solutions such as ClickHouse and PostgreSQL/Amazon Aurora.

• Proficiency in data transformation using dbt and Python (pandas, PyArrow, Pydantic, SQLAlchemy).

• Familiarity with open table formats and lakehouse technologies like Apache Iceberg, Delta Lake, DuckDB, and Apache Parquet.

• Experience with data quality tools like Great Expectations, Soda, and dbt tests.

• Senior-level expertise required.

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and career advancement.

• Supportive team culture with regular team-building activities.

Data Engineer

People also viewed