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Data Engineering Specialist Jobs (NOW HIRING)

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

One (1) year in the position above, as a Data Analyst, Data Engineer, as a Data Engineering Specialist, or in a related occupation; Other Requirements: Experience must include one (1) year use of all ...

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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 Jun 30, 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 are Data Engineering Specialists?

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.

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.

How do Data Engineering Specialists 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 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.

More about Data Engineering Specialist jobs
What job categories do people searching Data Engineering Specialist jobs look for? The top searched job categories for Data Engineering Specialist jobs are:
Data Engineering Specialist jobs near you

Specialist - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 4 days ago

Job description

Role Senior Data Engineer
Experience 5 to 8 Years
Location USA Hartford CT Hybrid working from office
Overview Data Migration Engineer having an experience migrating data from on prem to cloud
Must Have AWS Databricks Python
Good to have Any ETL tool
Requirements
Candidate must be experienced working in projects involving data migration on AWS databricks and python
Experience on data migration from OnPrem databases to AWS Cloud on S3 using databricks
Understands where to obtain information needed to make the appropriate decisions
Demonstrates ability to break down a problem to manageable pieces and implement effective timely solutions
Identifies the problem versus the symptoms
Manages problems that require involvement of others to solve
Reaches sound decisions quickly
Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit
Roles and responsibilities
Build and operationalize complex data solutions correct problems apply transformations and recommending data cleansing quality solutions
Design complex data solutions
Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes
Incorporate core data management competencies including data governance data security and data quality
Collaborate within and across teams to support delivery and educate end users on complex data products analytic environment
Perform data and system analysis assessment and resolution for complex defects and incidents and correct as appropriate
Test data movement transformation code and data components
Demonstrate domain expertise including understanding technical concepts necessary and industry trends
Skills
Bachelors Degree in STEM related field or equivalent
Up to Eight years of related experience
Highly proficient use of tools techniques and manipulation including Cloud platforms programming languages and a full understanding of modern software engineering practices
Strong written and verbal communication skills

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