--- title: Senior Data Engineer at Accel Club description: We’re looking for a Senior Data Engineer to own production data pipelines—from source collection through processing and warehouse models to datasets used by business teams and applications. You’ll joi --- # Senior Data Engineer **Company:** Accel Club **Location:** Georgia **Posted:** 2026-11-06 **Apply by:** 2026-12-21 **Tags:** data engineer [Apply / View original posting](https://www.linkedin.com/jobs/view/4486982965) ## Job description We’re looking for a Senior Data Engineer to own production data pipelines—from source collection through processing and warehouse models to datasets used by business teams and applications. You’ll join a small engineering team and collaborate closely with Data Analytics, Finance and Operations. We need someone who can understand an existing platform, make independent technical decisions and take responsibility for data correctness and reliable operation. What you’ll do Build and maintain integrations with marketplace, advertising and business systems, including Amazon SP-API, Amazon Ads, TikTok and Odoo. Develop Apache Beam pipelines on Google Cloud Dataflow to process source data into BigQuery. Build and maintain Airflow workflows for pipeline orchestration. Develop dbt models supporting financial reporting, advertising and inventory planning. Maintain Playwright-based scraping and report collection, parsing results into validated datasets and adapting to changes in source pages and formats. Improve data quality through testing, reconciliation, freshness monitoring and actionable alerts. Investigate discrepancies across source systems, warehouse models and business reports. Deliver safe migrations and backfills while improving pipeline performance and cloud costs. Our stack Python and SQL Apache Beam / Google Cloud Dataflow Airflow / Google Cloud Composer BigQuery and dbt Playwright Cloud Storage, Cloud Run, PostgreSQL/AlloyDB, Docker, GitHub Actions and Terraform/Terragrunt. What we’re looking for Strong production experience with Python and SQL . Hands-on experience developing and operating Apache Beam pipelines on Google Cloud Dataflow . Practical experience with BigQuery , including data modelling, query performance and cost optimisation. Experience building and operating Airflow workflows . Experience developing and maintaining dbt models . Strong understanding of incremental processing, deduplication, late-arriving data and safe reprocessing. Careful reasoning about dataset grain, joins, metric definitions and historical revisions. You can demonstrate how you verify data completeness and accuracy. Independent ownership of production pipelines, including troubleshooting and incident resolution. Effective use of AI coding tools, with responsibility for reviewing and verifying their output. Clear communication with technical and business colleagues, with English sufficient for daily collaboration. Useful additional experience Amazon SP-API, Amazon Ads API or Marketing Stream. Playwright-based browser automation, scraping and structured data extraction. E-commerce, advertising, financial or inventory data. Odoo integrations, PostgreSQL or change data capture. Terraform/Terragrunt or AWS messaging services. --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=Senior+Data+Engineer) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Data Engineer","description":"

We’re looking for a Senior Data Engineer to own production data pipelines—from source collection through processing and warehouse models to datasets used by business teams and applications. You’ll join a small engineering team and collaborate closely with Data Analytics, Finance and Operations. We need someone who can understand an existing platform, make independent technical decisions and take responsibility for data correctness and reliable operation. What you’ll do Build and maintain integrations with marketplace, advertising and business systems, including Amazon SP-API, Amazon Ads, TikTok and Odoo. Develop Apache Beam pipelines on Google Cloud Dataflow to process source data into BigQuery. Build and maintain Airflow workflows for pipeline orchestration. Develop dbt models supporting financial reporting, advertising and inventory planning. Maintain Playwright-based scraping and report collection, parsing results into validated datasets and adapting to changes in source pages and formats. Improve data quality through testing, reconciliation, freshness monitoring and actionable alerts. Investigate discrepancies across source systems, warehouse models and business reports. Deliver safe migrations and backfills while improving pipeline performance and cloud costs. Our stack Python and SQL Apache Beam / Google Cloud Dataflow Airflow / Google Cloud Composer BigQuery and dbt Playwright Cloud Storage, Cloud Run, PostgreSQL/AlloyDB, Docker, GitHub Actions and Terraform/Terragrunt. What we’re looking for Strong production experience with Python and SQL . Hands-on experience developing and operating Apache Beam pipelines on Google Cloud Dataflow . Practical experience with BigQuery , including data modelling, query performance and cost optimisation. Experience building and operating Airflow workflows . Experience developing and maintaining dbt models . Strong understanding of incremental processing, deduplication, late-arriving data and safe reprocessing. Careful reasoning about dataset grain, joins, metric definitions and historical revisions. You can demonstrate how you verify data completeness and accuracy. Independent ownership of production pipelines, including troubleshooting and incident resolution. Effective use of AI coding tools, with responsibility for reviewing and verifying their output. Clear communication with technical and business colleagues, with English sufficient for daily collaboration. Useful additional experience Amazon SP-API, Amazon Ads API or Marketing Stream. Playwright-based browser automation, scraping and structured data extraction. E-commerce, advertising, financial or inventory data. Odoo integrations, PostgreSQL or change data capture. Terraform/Terragrunt or AWS messaging services.

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