Top 17 Data engineer Jobs in New Castle De

Senior Bioinformatics Data Engineer
Kaztronix —Wilmington, DE
- Contract
- Remote
- Background check
- Computer Science
- 5 years
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Senior Data Engineer
Tiger Analytics Inc. —Wilmington, DE
- Full-time
- Hybrid work
- Azure
- Mentoring
- Senior level
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DATA ENGINEER RETAIL _ SUPPLY CHAIN
Robotics Technologies —Yorklyn, DE
- Contract
- Azure
- 8 years
- SQL
Automation Engineer - Development - Data Centers (SCADA )
Albireo Energy —New Castle, DE
- Full-time
- Hybrid work
- Background check
- Pass drug screening
- Mid-level
- Paid holidays
- Disability insurance
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Data Engineer
Decision Six —Newtown Square, PA
- Full-time
- AWS
- Senior level
Data Engineer
QVC —West Chester, PA
- Full-time
- Computer science
- Computer Science
- Mid-level
- Health insurance
- 401(k)
8d
Lead Data Engineer
Capital One —Wilmington, DE
- Email
- Azure
- Java
- Bachelor's degree
- Health insurance
8d
Senior Data Solutions Engineer
Chatham Financial —Kennett Square, PA
- Full-time
- Azure
- Computer Science
- Bachelor of Science
Azure Data Engineer
Amerihealth Caritas —Newtown Square, PA
- Full-time
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Lead Data Engineer
Wawa, Inc. —Media, PA
- Full-time
- Computer science
- Computer Science
- 5 years
1d
Senior Lead Data Engineer (Bank Tech)
Capital One —Wilmington, DE
- Email
- Azure
- Java
- Master's degree
- Health insurance
11d
Data Engineer/Assoc. Commercial Data Architect
Incyte Corporation —Chadds Ford, PA
- Computer Science
- Mid-level
- 3 years
Azure Data Engineer Senior
Amerihealth Caritas —Newtown Square, PA
- Full-time
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- 6 years
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- Paid holidays
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Junior Electrical Project Engineer - Data Center Construction
VADD Construction Services —United States
- Full-time
- Up to 50% travel
- Construction site
- Engineering
- Paid holidays
- Health insurance
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AWS Data Engineer - Healthcare/Rx Claims - REMOTE - FTE
Medix —United States
- $125,000 - $140,000 a year
- Full-time
- Remote
- Background check
- 8 years
- SQL
Quick Apply
5d

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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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