Top 38 Senior data engineer Jobs in Philadelphia, Pa

Senior Bioinformatics Data Engineer
Kaztronix —Wilmington, DE
- Contract
- Remote
- Background check
- Computer Science
- 5 years
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Senior Data Engineer
Troutman Pepper Locke —Philadelphia, PA
- $120,000 - $170,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
12d
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Philadelphia, PA
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Senior Data Engineer (Customer Data Products)
NBME —Philadelphia, PA
- $127,337 - $160,000 a year
- Full-time
- Hybrid work
- Research
- Java
- SQL
- Free parking
- Commuter assistance
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4d
Senior Data Engineer - AI
Anaplan —Philadelphia, PA
- Email
- Hybrid work
- 7 years
- Azure
- Office
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Data Engineer- PennDnA- Quality (Mid level/Senior)
Penn Medicine —Philadelphia, PA
- 8 hour shift
- Hybrid work
- Computer science
- Azure
- Computer Science
- Tuition reimbursement
Quick Apply
URBN Senior Data Engineer
URBN —Philadelphia, PA
- Full-time
- 6 years
- Merchandising
- System design
- Health insurance
- Dental insurance
Senior Data Production Engineer
T-Mobile USA, Inc. —Philadelphia, PA
- $105,100 - $189,600 a year
- Full-time
- 18 years or older
- Computer Science
- 3 years
- Paid parental leave
- AD&D insurance
Senior Azure Data Engineer
Two95 International Inc. —Philadelphia, PA
- Contract
- Hybrid work
- Sales
- SQL
- Mentoring
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Cyber AI Data Engineer Senior Consultant
Deloitte —Philadelphia, PA
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Senior Data Engineer
CACI —King of Prussia, PA
- $82,100 - $172,400 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Health insurance
Sr Data Engineer
IntegriChain —Philadelphia, PA
- Full-time
- Remote
- Azure
- AWS
- Product management
- Health insurance
- Paid time off
Quick Apply
Senior Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Philadelphia, PA
- Full-time
- 5 years
- DevOps
- Office
- Loan repayment program
- Disability insurance
Quick Apply
Azure Data Engineer Senior
Amerihealth Caritas —Newtown Square, PA
- Full-time
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Health insurance
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Philadelphia, PA
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Senior Data Science Engineer
T-Mobile USA, Inc. —Philadelphia, PA
- $116,500 - $210,100 a year
- Full-time
- 18 years or older
- Computer Science
- 3 years
- Paid parental leave
- AD&D insurance
Senior Data Engineer
Burlington Stores —Edgewater Park, NJ
- $80,000 - $105,000 a year
- Full-time
- Computer Science
- 5 years
- Research
- Paid holidays
- Disability insurance
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Philadelphia, PA
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Philadelphia, PA
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance
Senior Lead Data Engineer (Bank Tech)
Capital One —Wilmington, DE
- Email
- Azure
- Java
- Master's degree
- Health insurance

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senior data engineer jobs near philadelphia, pa

Senior Bioinformatics Data Engineer

Kaztronix -
Wilmington, DE

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Job Details

Contract

Qualifications

Data integrity assurance
Commercial use (data warehousing systems)
Data Integration (Data management)
Data validation techniques
R
Process design
Schema design
SQL
Data Architecture Design (Architecture design skills)
ETL process automation
Data integrity process (data warehousing)
Application design
S3
AI-driven automation
Pair programming
Technical architecture
Python
Statistical analysis tools
Database software proficiency
VPN

Full Job Description

Job Summary

We are seeking a Data/Platform Engineer to accelerate a biomarker data lake modernization within Computational Discovery. The project replaces a fragmented ETL landscape with a unified AWS-native platform: Dagster orchestration, dbt transformations, Iceberg Bronze/Silver on S3, and Redshift Gold serving downstream AI and visualization consumers. Core infrastructure is live; this role provides the engineering capacity to drive real data through production pipelines across multiple oncology clinical studies. The successful candidate will embed as a technical partner with the lead engineer, working across the full stack from vendor ingestion through gold-layer delivery. This is a hands-on role that demands strong data quality instincts, a drive to automate repetitive workflows, and the ability to build scalable processes around AI-assisted development.

Key Responsibilities

Build and maintain Dagster-orchestrated ingestion pipelines for genomics vendors (Caris, Predicine, Tempus, Olink, CellCarta), including IO managers, Iceberg writers, and row-level accounting.
Develop and harden dbt Silver-to-Gold transformations: real-data test coverage, store-failures patterns, staging/intermediate/mart models, and macro consolidation.
Implement clinical data ingestion paths (SDTM and ADaM), reconciliation logic, and subject-dimension routing.
Deliver platform infrastructure: FastAPI endpoints, CI/CD pipelines, containerized deployments, observability instrumentation, and Redshift performance tuning.
Extract transformation rules from legacy R and PySpark code and reconcile against new platform implementations.
Identify repetitive processes and convert them into automated workflows, guardrails, or reusable tooling.
Participate in adversarial design and code reviews, identifying edge cases and pushing back on suboptimal patterns.
Collaborate with the lead engineer on design decisions and jointly own delivery velocity through paired working sessions and PR reviews.
Ensure all work meets reproducibility standards: CI on every PR, automated tests, no ad-hoc notebook-based production processes.

Minimum Qualifications

AI-native engineering practice: demonstrated experience building systems and workflows around AI coding agents (Claude Code, Cursor, Codex, or equivalent) - not just prompting them. You recognize when a repeated process should become an automated pipeline, when agent output needs guardrails, and when to build infrastructure that makes future work faster. Surface-level tool usage is insufficient.
Education: Bachelor's or master's degree in computer science, Data Engineering, Bioinformatics, or related field.
Experience: 5+ years of professional experience in data engineering with shipped production pipelines on AWS (S3, ECS/Fargate, Redshift or equivalent MPP).
Strong proficiency in Python and SQL with working knowledge of modern data engineering libraries.
Advanced proficiency with dbt and a workflow orchestration tool (Dagster, Airflow, or Prefect).
Data quality instinct: track record of catching silent failures, questioning data correctness assumptions, and noticing lossy joins or incomplete deliveries.
Solid understanding of lakehouse architecture patterns, ETL processes, and schema design for complex multi-modal datasets.
Ability to handle PHI-adjacent clinical data under contractor policy (background check, compliance training, VPN access).
Willingness to work within legacy codebases (R, PySpark) to extract business rules and validate new implementations.
Excellent communication skills and ability to work in an embedded pair model with tight feedback loops.

Preferred Qualifications

Direct experience with Apache Iceberg, AWS Glue Catalog, or lakehouse table formats.
Comfort reading genomic data (VAF, HGVS nomenclature, VCFs, CNV/fusion semantics) or demonstrated ability to ramp on unfamiliar scientific domains quickly.
Familiarity with clinical data standards including SDTM, ADaM, and CDISC.
Pharma, clinical research, or life sciences background.
Experience with containerization (Docker/ECS) and infrastructure-as-code (CloudFormation).
Proficiency in R for interoperability with bioinformatics teams.

Kaztronix is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, veteran status or any other consideration made unlawful by federal, state or local laws. In addition, all human resource actions in such areas as compensation, employee benefits, transfers, layoffs, training and development are to be administered objectively, without regard to race, color, religion, age, sex, national origin, disability, veteran status or any other consideration made unlawful by federal, state or local laws.

By applying to the position, you acknowledge that your information will be used by Kaztronix in processing your application.

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senior data engineer jobs in philadelphia, pa

Senior Bioinformatics Data Engineer

Senior Data Engineer

Data Engineer - Senior Associate

Senior Data Engineer (Customer Data Products)

Senior Data Engineer - AI

Data Engineer- PennDnA- Quality (Mid level/Senior)

URBN Senior Data Engineer

Senior Data Production Engineer

Senior Azure Data Engineer

Cyber AI Data Engineer Senior Consultant

Senior Data Engineer

Sr Data Engineer

Senior Data Engineer (AWS, Azure, GCP)

Azure Data Engineer Senior

Data Engineer - Senior Manager

Senior Data Science Engineer

Senior Data Engineer

Senior Data Scientist Engineer - SFL Scientific

Applied AI Health Data System Engineer-Senior Manager

Senior Lead Data Engineer (Bank Tech)

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