Job Description

Job Description

Data Engineer

Contract-to-Hire (6 months)

Lancaster, PA

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that support analytics, AI, and data-driven decision-making. This role is hands-on and focused on building reliable, well-modeled datasets across modern cloud and lakehouse platforms. You will partner closely with analytics, data science, and business teams to deliver high-quality data solutions.

Key Responsibilities

• Design, build, and optimize batch and real-time data pipelines for ingestion, transformation, and delivery
• Develop and maintain data models that support analytics, reporting, and machine learning use cases
• Design scalable data architecture integrating structured, semi-structured, and unstructured data sources
• Build and support ETL / ELT workflows using modern tools (e.g., dbt, Airflow, Databricks, Glue)
• Ingest and integrate data from multiple internal and external sources, including APIs, databases, and cloud services
• Manage and optimize cloud-based data platforms (AWS, Azure, or GCP), including lakehouse technologies such as Snowflake or Databricks
• Implement data quality, validation, governance, lineage, and monitoring processes
• Support advanced analytics and machine learning data pipelines
• Partner with analysts, data scientists, and stakeholders to deliver trusted, well-structured datasets
• Continuously improve data workflows for performance, scalability, and cost efficiency
• Contribute to documentation, standards, and best practices across the data engineering function

Required Qualifications

• 3–7 years of experience in data engineering or a related role
• Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
• Hands-on experience with modern data platforms (Snowflake, Databricks, or similar)
• Experience building and orchestrating data pipelines in cloud environments
• Working knowledge of cloud services (AWS, Azure, or GCP)
• Experience with version control, CI/CD , and modern development practices
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in a fast-paced, collaborative environment

Preferred / Nice-to-Have

• Experience with dbt, Airflow, or similar orchestration tools
• Exposure to machine learning or advanced analytics pipelines
• Experience implementing data governance or quality frameworks
• Familiarity with SAP data platforms (e.g., BW, Datasphere, Business Data Cloud)
• Experience using LLMs or AI-assisted tooling for automation, documentation, or data workflows
• Relevant certifications in cloud, data platforms, or AI technologies

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