Senior Data Engineer: Trustworthy Pipelines & Analytics

Softadom; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Softadom is seeking a senior data engineer to build robust data pipelines and ensure data quality as schemas evolve and volumes grow. You will handle ingestion, modeling, testing, and operational reporting for analytics and BI, working closely with cross-functional teams and documenting progress incrementally.

You will design end-to-end pipelines using dbt with BigQuery or Snowflake, orchestrate with Airflow or Dagster, and collaborate with engineers, analysts, and leadership to align KPI

Qualifications

• Senior-level experience building production data pipelines.
• Hands-on with dbt and at least one orchestrator (Airflow or Dagster).
• Experience with cloud warehouses (BigQuery or Snowflake) and reverse-ETL tooling.
• Comfort ingesting from relational databases, SaaS APIs, event streams, and files.

Responsibilities

• Ingest data from PostgreSQL databases, SaaS APIs, event streams, and flat files into analytics platforms.
• Model data for analytics and operational reporting using dbt with BigQuery or Snowflake.
• Implement automated tests that detect schema drift and data quality issues.
• Orchestrate pipelines with Airflow or Dagster and apply reverse-ETL tooling where appropriate.
• Partner with backend engineers, analysts, and leadership on KPI definitions.

Skills

Senior data engineer

dbt

Airflow

Dagster

BigQuery

Tools

BigQuery

Snowflake

PostgreSQL

Job description

Softadom is seeking a senior data engineer to build robust data pipelines and ensure data quality as schemas evolve and volumes grow. You will handle ingestion, modeling, testing, and operational reporting for analytics and BI, working closely with cross-functional teams and documenting progress incrementally.

You will design end-to-end pipelines using dbt with BigQuery or Snowflake, orchestrate with Airflow or Dagster, and collaborate with engineers, analysts, and leadership to align KPI