Senior Data Engineer

Fortune; Durham (NC); On-site; USD 60,000 - 65,000; Part time

Job summary

A leading information technology company in North Carolina is seeking a Senior Big Data & Cloud Engineer to design and build advanced API and data solutions. This role requires 10+ years of experience in software/data engineering with strong expertise in big data and distributed systems. The candidate will work with cloud technologies and drive innovation in data engineering practices. A commitment to delivering high-quality solutions is essential for this contract position.

Qualifications

• 10+ years of experience in software/data engineering.
• Proven ability to design and optimize distributed systems.
• Strong communicator and collaborator.

Responsibilities

• Design and develop large-scale data movement services.
• Build and maintain ETL workflows and distributed pipelines.
• Monitor and optimize distributed systems.

Skills

Big data expertise

Distributed systems design

Cloud-native development

Java

Scala

Apache Spark

Tools

AWS S3

EMR

NoSQL databases

Job description

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Base pay range

$60.00/yr - $65.00/yr

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Senior Technical Recruiter @ Seven Step | MBA, Global Talent Acquisition.

Job Summary

We are seeking an experienced Senior Big Data & Cloud Engineer to design, build, and deliver advanced API and data solutions that support financial goal planning, investment insights, and projection tools. This role is ideal for a seasoned engineer with 10+ years of hands‑on experience in big data processing, distributed systems, cloud‑native development, and end‑to‑end data pipeline engineering.

You will work across retail, clearing, and custody platforms, leveraging modern cloud and big data technologies to solve complex engineering challenges. The role involves driving technology strategy, optimizing large‑scale data systems, and collaborating across multiple engineering teams.

Key Responsibilities

Design and develop large‑scale data movement services using Apache Spark (EMR) or Spring Batch.

Build and maintain ETL workflows, distributed pipelines, and automated batch processes.

Develop high‑quality applications using Java, Scala, REST, and SOAP integrations.

Implement cloud‑native solutions leveraging AWS S3, EMR, EC2, Lambda, Step Functions, and related services.

Work with modern storage formats and NoSQL databases to support high‑volume workloads.

Contribute to architectural discussions and code reviews across engineering teams.

Drive innovation by identifying and implementing modern data engineering techniques.

Maintain strong development practices across the full SDLC.

Design and support multi‑region disaster recovery (DR) strategies.

Monitor, troubleshoot, and optimize distributed systems using advanced observability tools.

Required Skills :

10+ years of experience in software/data engineering with strong big data expertise.

Proven ability to design and optimize distributed systems handling large datasets.

Strong communicator who collaborates effectively across teams.

Ability to drive architectural improvements and influence engineering practices.

Customer‑focused mindset with commitment to delivering high‑quality solutions.

Adaptable, innovative, and passionate about modern data engineering trends.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology