Senior Data Engineer (Scala Development)

Pittsburgh, PA
Contracted to Full Time
Experienced

Role Overview  
We are seeking an experienced Senior Data Engineer with strong Scala development expertise to build and support large-scale data processing solutions. This role will focus on developing high-performance data pipelines and applications using Spark and the Hadoop ecosystem, supporting critical enterprise data platforms. The ideal candidate brings strong problem-solving skills, a deep understanding of distributed data processing, and an engineering mindset that considers the full lifecycle of code—from design and development through deployment, performance optimization, and long-term production stability.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and distributed data processing applications using Scala and Spark.

  • Build and optimize large-scale batch and data processing frameworks within the Hadoop ecosystem.

  • Write efficient and maintainable Scala-based applications for enterprise data platforms.

  • Develop and maintain SQL-based queries and transformations for data processing and validation.

  • Collaborate with data architects, engineers, and business stakeholders to translate business requirements into scalable data solutions.

  • Ensure data pipeline performance, reliability, and stability in production environments.

  • Troubleshoot and resolve performance issues across distributed systems.

  • Contribute to best practices around data engineering, code quality, testing, and operational support.

  • Support production environments and continuously improve monitoring, resiliency, and stability of data systems.

Required Qualifications/Skills

  • Bachelor’s degree in Computer Science, Information Technology, or related field.

  • 8–10 years of experience in data engineering or software development roles.

  • Strong Scala development experience (primary programming language).

  • Hands-on experience with Apache Spark for distributed data processing.

  • Experience working within the Hadoop ecosystem (HDFS, Hive, YARN, or related technologies).

  • Basic to intermediate SQL skills for querying and manipulating data.

  • Strong problem-solving and analytical skills.

  • Demonstrated ability to design solutions while considering the entire software lifecycle, including performance, monitoring, and production stability.

Preferred Qualifications

  • Experience working in Corporate & Investment Banking (C&IB) environments.

  • Familiarity with large-scale enterprise data platforms handling high data volumes.

  • Experience with data pipeline optimization and performance tuning.

  • Exposure to modern data platforms, streaming frameworks, or cloud-based data services.

  • Experience working in Agile development environments.

Location: Pittsburgh/Cleveland/Dallas

About Techstra Solutions   
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com 

Equal Employment Opportunity Statement

Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.

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