Data Engineer

Job Description

New fulltime position open for a seasoned Data Engineer in the Lancaster, PA area!

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This is an onsite role and not a remote based position.

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Qualified applicants should currently be based in the greater Lancaster, PA area OR willing to relocate to this area.

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Strong Databricks experience is required, along with advanced SQL skills.

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US Citizenship or Permanent Resident status in the United States is a requirement for this position. Client is unable to transfer any visas including H1-B, F-1, C visas, etc.

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Due to the large volume of applicants, candidates that send an email directly to View email address on ziprecruiter.com -us.com with the following information will get first consideration :

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1. Current city/state in which you reside
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2. Current citizenship status
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3. Target salary range
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4. Number of years working with Databricks on AWS
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5. Your SQL skills rated on a 1-10 scale (1=novice, 10=expert)
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Skills and background required:

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• Bachelor's Degree preferred, or equivalent practical hands-on experience.
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• A proven track record designing, delivering, and operating production-grade solutions in Databricks on AWS , including responsibility for architecture implementation, pipeline development, deployment, support, performance, and cost.
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• >5 years of professional experience in data engineering, data platform engineering, analytics engineering, or similar.
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• Proven experience delivering multiple end-to-end projects where engineered data products enabled sophisticated analysis - such as cross-system KPI reporting, forecasting, optimization, profitability analysis, anomaly detection, predictive modeling, scenario analysis, or AI/ML.
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• Advanced SQL and strong Python/PySpark skills, including experience developing maintainable, tested, production-quality code for large and complex datasets.
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• Strong knowledge of Spark, Delta Lake or comparable lakehouse patterns, dimensional and analytical data modeling, partitioning, schema evolution, data contracts, and performance tuning.
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• Hands-on experience with core AWS data-platform capabilities such as S3, IAM, KMS, VPC networking, CloudWatch, Secrets Manager, and related services used to secure, integrate, and operate Databricks workloads.
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• Experience building batch and incremental pipelines using APIs, files, databases, SaaS connectors, change data capture, and at least one orchestration framework or managed workflow capability.
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• Experience with Git-based development, CI/CD, automated data testing, code review, environment management, and infrastructure-as-code practices.
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• Experience implementing data quality, observability, cataloging, lineage, access control, and operational support for business-critical data products.
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