Data Engineer

Job not on LinkedIn

🔥 8 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $75.4k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Capital Blue Cross

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1938

🏥 Healthcare

💼 Consulting

🛡️ Insurance

Healthcare • Consulting • Insurance

Capital Blue Cross is a health insurance company that offers a range of health plans for individuals, families, and employers. They serve customers in Central Pennsylvania and the Lehigh Valley, focusing on providing health coverage services such as Medicare plans, student health plans, and resources for managing medical care. Capital Blue Cross positions itself as a partner in health, emphasizing support for members' overall wellness and preventive health measures.

📋 Description

• Build, refactor, and maintain pipeline components of cloud-based data products • Own ingestion, storage, cleansing, profiling, transformation, and presentation of data products • Analyze large and complex datasets for quality, accuracy, anomalies, and performance • Own pre-UAT testing for every change using the standard ABC framework • Consult with analysts and stakeholders on data requests, enhancements, recommendations, quality, and awareness • Assess integration restrictions and options, and recommend load strategy, storage targets, data access layer model, and solution architecture • Participate in modeling star-schema data marts, denormalized performant layers, presentation layers, and Data Vault or other immutable storage • Organize source code using a versioning framework • Create and maintain reference architecture diagrams and engineering documentation • Triage emergent data concerns and coordinate with stakeholders through resolution

🎯 Requirements

• Advanced SQL and Python programming • Bash (Unix shell), PowerShell, or DOS batch scripting • ELT applications such as WhereScape or IDMC • Ability to present at team-wide code reviews • Proactive analysis and resolution of data issues in an agile, collaborative environment • Data ingestion using unstructured, semi-structured, and structured data • Data quality concepts and the ABC framework • Git or similar source code versioning tools • Star Schema and Normalized Relational modeling • Data Vault 2.1 is a plus • Foundational knowledge of data preparation for Large Language Models • Metadata capture, row access policies, data masking policies, and data governance principles • 3+ years in database technologies and data engineering • 3+ years modeling, building, and testing data products • 2+ years in cloud data infrastructure with a SaaS delivery model • Azure and Snowflake experience are a plus • Healthcare experience is preferred • Bachelor’s Degree in Computer Science, Software Engineering, Healthcare Informatics or related studies; or 7 years of relevant experience in lieu of degree • Ability to provide off-hours assistance for critical, time-sensitive data products • Ability to handle multiple assignments concurrently • Ability to adapt to changing priorities of multiple customers • Ability to work independently and/or as part of a project team

🏖️ Benefits

• Medical, Dental & Vision coverage • Retirement Plan • Paid Time Off • Holidays • Volunteer time off • Incentive Plan • Tuition Reimbursement • Flexible environment • Training and continuing education • Opportunities to volunteer in the community