Data Engineer

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    "description_html": "<p>Title: Data Engineer — Remote (US)</p><p>Location: Remote — United States<br>Employment type: Contract (6–12+ months)<br>Indicative rate: $75–$100/hr</p><p>Role Summary<br>We are hiring a data engineer to build and maintain scalable data pipelines, warehouse models, and analytics-ready datasets. You will work with engineering and analytics teams to improve data quality, lineage, and reliability. Remote within the United States.</p><p>Responsibilities</p><ul><li>Design, build, and operate ETL/ELT pipelines from operational and SaaS sources</li><li>Develop batch and streaming workflows using Python, SQL, and cloud data services</li><li>Model data in a warehouse/lakehouse (e.g. Snowflake, Databricks, or BigQuery)</li><li>Implement data quality checks, monitoring, and incident response for pipelines</li><li>Collaborate with analysts and data scientists on curated marts and metrics</li><li>Document pipelines, schemas, and SLAs; support CI/CD for data code</li><li>Optimize performance, cost, and security (IAM, encryption, PII handling)</li></ul><p>Required Qualifications</p><ul><li>4+ years in data engineering or similar analytics engineering roles</li><li>Strong SQL and Python for data processing</li><li>Hands-on experience with a modern cloud data platform (Snowflake, Databricks, Redshift, or BigQuery)</li><li>Experience with orchestration (Airflow, Dagster, Prefect, or cloud-native schedulers)</li><li>Understanding of dimensional modeling and incremental loads</li><li>Remote in the United States</li></ul><p>Preferred Qualifications</p><ul><li>dbt, Spark, or Kafka/streaming experience</li><li>AWS or Azure data services (S3, Glue, ADF, Synapse, etc.)</li><li>Git-based development and automated testing for data pipelines</li><li>Experience in finance, retail, or healthcare data domains</li></ul>",
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