Data Engineer

Capital Blue Cross

. Build, refactor, and maintain pipeline components of cloud-based data products .

Posted 9/23/2026full-timeRemote • Pennsylvania • United StatesMid-LevelSenior💰 $75,400 - $140,020 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Advanced SQL and Python programming for data engineering, with a strong focus on data ingestion, quality, and transformation. Proficient in cloud data infrastructure and capable of collaborating effectively in agile environments.

Highest-signal resume keywords

Advanced SQL ProgrammingPython ProgrammingData IngestionData Quality ConceptsCloud Data Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData TransformationData ProfilingData Governance PrinciplesStar Schema ModelingNormalized Relational ModelingData Vault 2.1Metadata CaptureData Masking PoliciesDatabase Technologies

Soft Skills

Proactive Problem SolvingCollaborationAdaptabilityIndependent WorkTime Management

Tools & Technologies

Bash ScriptingPowerShellGitWhereScapeIDMCAzureSnowflakeABC FrameworkVersioning FrameworkEngineering Documentation

Industry Keywords

Cloud-Based Data ProductsHealthcare InformaticsSaaS Delivery ModelData Access Layer ModelData QualityAgile EnvironmentData ProductsData CleansingData PresentationData Analysis

Tech Stack

Tools & technologies

AzureCloudPythonSQLUnixVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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