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Data Engineering Specialist Jobs (NOW HIRING)

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Lead Data Engineering Specialist **Location: Atlanta, GA (Hybrid) **Responsibilities:** - Shape industry narratives across both business and technical domains, addressing intricate challenges ...

Socket.dev

Data Engineering Scientist

Ontario, CA · On-site

$100 - $125/hr

Interacting with data engineering specialists to ensure data processing, cleansing, and verifying the integrity of data used for the ML-Ops is reliably done and available during 24/7 operations

New

Samtec

Engineering Specialist

Wilsonville, OR · On-site

The Engineering Specialist is a role that utilizes significant experience and skillset within a ... production data to identify trends, troubleshoot issues, and improve product consistency and ...

Samtec, Inc

Engineering Specialist

Wilsonville, OR · On-site

$100 - $125/hr

Engineering Specialist - Wilsonville, Oregon. This is a hands-on technical role within the New ... production data to identify trends, troubleshoot issues, and improve product consistency and ...

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Data Engineering Specialist information

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$33K

$81.5K

$140K

How much do data engineering specialist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineering specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a data engineering specialist?

Data Engineering Specialists are professionals who design, build, and maintain the infrastructure that allows organizations to collect, store, and analyze large amounts of data. They develop data pipelines, manage databases, and ensure data is accessible, reliable, and secure for analytics and business intelligence purposes. Their work is crucial in transforming raw data into usable formats for data scientists, analysts, and business leaders.

How does a data engineering specialist typically collaborate with data scientists and analysts within an organization?

Data Engineering Specialists work closely with data scientists and analysts by designing, building, and maintaining data pipelines that ensure reliable, high-quality data is readily available. They often meet regularly with these teams to understand data requirements, troubleshoot data issues, and optimize workflows for analytics and machine learning projects. Effective collaboration involves clear communication about data structures, definitions, and timelines, as well as actively participating in code reviews and joint problem-solving sessions. This teamwork is essential for delivering impactful, data-driven solutions across the organization.

What are the key skills and qualifications needed to thrive as a data engineering specialist, and why are they important?

To thrive as a Data Engineering Specialist, you need expertise in database management, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Proficiency with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and data pipeline orchestration tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and address complex data challenges. These skills are essential for building robust, scalable data infrastructure that empowers organizations to make data-driven decisions.

What is the difference between Data Engineering Specialist vs Data Engineer?

AspectData Engineering SpecialistData Engineer
CredentialsBachelor's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, related certifications
Work EnvironmentData teams, cloud platforms, data warehousesData pipelines, databases, cloud environments
Industry UsageUsed across tech, finance, healthcareCommon in similar industries, focus on data infrastructure
Search IntentUnderstanding roles, skills, and career pathJob requirements, skills, and responsibilities

Data Engineering Specialists focus on designing and maintaining data pipelines, often with specialized skills in cloud platforms. Data Engineers build and optimize data infrastructure, working on data collection, storage, and processing. Both roles overlap in skills and environment but differ in scope and focus.

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What are popular job titles related to Data Engineering Specialist jobs?

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Data Engineering Specialist jobs near you
Infographic showing various Data Engineering Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

BI & Data Engineering Specialist

Washington, DC • On-site

SYS Integration
See more jobs at SYS Integrationexternal

Full-time

Re-posted 5 days ago

Job description

Data Engineering Specialist

Systems Integration, Inc. (SII) is a leading provider of customer experience, data analytics and digital transformation solutions. We are seeking a highly skilled and self-motivated BI & Data Engineering Specialist to support the FBI's ITBI (IT Business Intelligence) initiatives. The ideal candidate will possess strong business acumen and demonstrate the ability to work independently across multiple FBI Divisions, Sections, and Units. This role requires effective collaboration at all levels within the Bureau and demands excellent written and verbal communication skills.

Responsibilities:

  • Gather and analyze BI end-user requirements; assess technical feasibility to inform software design and performance solutions.
  • Design, implement, execute, and debug manual and automated test cases using diverse testing techniques.
  • Perform detailed data analysis, tracing data elements from source through transformation to target.
  • Develop relational and multidimensional data models; optimize data-mining performance using tools such as Erwin.
  • Build and deploy BI reporting and ETL solutions using best practices; identify and resolve data quality issues.
  • Design and code new software or enhance existing systems; integrate into operational environments.
  • Collaborate with reporting teams to optimize ETL/data pipeline processes aligned with business needs.
  • Ensure sensitive content is secured in compliance with regulatory and legal standards.
  • Document all phases of development including requirements gathering, database diagrams, source-to-target mappings, and technical specifications.
  • Mentor junior staff and provide guidance on BI/ETL best practices.
  • Participate in on-call production support on a rotating basis.
  • Qualifications:
  • Must be US Citizen
  • Requires a Top-Secret clearance (SCI/Poly may be required later).
  • Proficiency in Power BI
  • Expertise in writing complex SQL statements, stored procedures, triggers, and views
  • Experience extracting data from heterogeneous sources
  • Strong foundation in data warehousing and reporting platforms with ability to recommend and implement best practices
  • Familiarity with Oracle, SQL Server, Cognos, and Tableau (or similar tools)
  • Experience with cloud-based data warehousing and data integration services
  • Advanced knowledge of Microsoft Office Suite
  • Experience working in Agile development and cloud environments is a plus
  • Bachelor's degree is required in information systems, computer science, or related field.
  • Minimum of 5 years' experience supporting projects of similar size and scope.

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