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Data Engineer Jobs in Covington, KY (NOW HIRING)

QA Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Position : QA Data Engineer Location : Cincinnati, OH Job : Onsite * 10+ years over all experience required * Data migration experience required * Need strong experience in wring SQL queries Regards ...

QA Data Engineer

Cincinnati, OH

$109K - $131K/yr

Position : QA Data Engineer Location : Cincinnati, OH Job : Onsite * 10+ years over all experience required * Data migration experience required * Need strong experience in wring SQL queries Regards ...

New

QA Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Position : QA Data Engineer Location : Cincinnati, OH Job : Onsite * 10+ years over all experience required * Data migration experience required * Need strong experience in wring SQL queries Regards ...

New

Senior Data Engineer

Blue Ash, OH

$97K - $132K/yr

Azure Data Lake (Gen 2) Azure Databricks SQL Unity Catalog Alation Power BI Terraform GitHub Actions Interviews: First round with HM 30 min, second round panel with Tech lead, PM and another Engineer ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Senior Data Engineer

Cincinnati, OH · On-site

$55 - $70/hr

We are seeking a highly skilled and experienced Senior Data Engineer to design, develop, and support scalable IBM DataStage ETL solutions and enterprise data pipelines for mission-critical ...

New

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems; * Create software applications that support the understanding ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

A client with Kforce is seeking a Senior Data Engineer in Cincinnati, OH. Summary: This role involves building scalable data pipelines, optimizing data movement processes, supporting data warehouse ...

AI Software/ Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

They are seeking a versatile AI Software Engineer to bridge AI initiatives with production engineering, focusing on building data pipelines and operationalizing AI features. Responsibilities : • ...

AI & Data Careers Event

Cincinnati, OH · On-site

$109K - $132K/yr

Data Engineer - IT * Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); * Support programming/software ...

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design cutting edge analytic solutions, optimize data architecture, and work with various stakeholders to improve data infrastructure. Responsibilities ...

Senior Data Engineer (P4533)

Cincinnati, OH · On-site

$117K - $155K/yr

As a data developer, you will cultivate strategies and solutions to ingest, store and distribute our big data. Our developers use Python, Databricks, Spark, JSON, and SQL in scrum teams to developer ...

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Lead Data Engineer (P4519)

Cincinnati, OH · On-site

$125K - $207K/yr

Lead Data Engineer We are a full-stack data science company and a wholly owned subsidiary of The Kroger Company. We own 10 petabytes of data and collect 35+ terabytes of new data each week sourced ...

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Senior Data Engineer

Cincinnati, OH · On-site +1

$101K - $138K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Showing results 41-60

Data Engineer information

See Covington, KY salary details

$43.2K

$125.9K

$172.3K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Covington, KY is $125,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Covington, KY? The most popular types of Data Engineer jobs in Covington, KY are:
What are popular job titles related to Data Engineer jobs in Covington, KY? For Data Engineer jobs in Covington, KY, the most frequently searched job titles are:
What cities near Covington, KY are hiring for Data Engineer jobs? Cities near Covington, KY with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Covington, KY as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,907 per year, or $60.5 per hour.

Cloud Data Engineer, Business Intelligence

Resurgent Capital Services

Cincinnati, OH • On-site

$109K - $131K/yr

Full-time

Re-posted 27 days ago


Job description

About Us
Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!
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Summary
As a Cloud Data Engineer, you will be a key architect of our data ecosystem. You'll own the full software development lifecycle-from initial design and coding to integration testing and deployment. In this role, you aren't just maintaining systems; you are building innovative data applications that empower our organization. We value autonomy and judgment, looking for a professional with 5+ years of experience who is ready to turn complex data challenges into high-performance production solutions. This position will report to the Vice President of Enterprise Data Engineering.
Roles & Responsibilities
  • Architect Impact: Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
  • Collaborate Across Domains: Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
  • Cloud-Scale ML and AI Delivery: Transform data science prototypes into scalable, reliable production ML and AI solutions.
  • Optimize Performance: Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability.
  • Build Resilient Systems: Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
  • Lead Project Strategy: Take ownership of work estimates, technical roadmaps, and implementation plans.
  • Stay Ahead of the Curve: Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
  • Agile Teamwork: Thrive in an agile environment, following best practices and clean coding standards.
  • Invest in Growth: Actively grow your personal technical skillset while mentoring others to elevate the entire team.

Skills & Qualifications
  • Experience: 5+ years of hands-on experience in data engineering.
  • SQL Mastery: Strong experience designing data warehouse solutions with expert-level SQL knowledge.
  • Data Architecture: Deep understanding of databases, data structures, and complex data manipulation.
  • Pipeline Engineering: Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
  • The Tech Stack: Deep experience with Microsoft SQL Server and proficiency with Databricks.
  • Coding: Proficiency in C# and/or Python.
  • Modern Infrastructure: Familiarity with distributed architecture is a significant plus.
  • Collaborative Mindset: A track record of success in team-oriented, collaborative environments.
  • Communication: Strong interpersonal skills with a focus on delivering excellent support to internal customers.
  • Problem Solver: Exceptional analytical skills and a passion for tackling complex technical puzzles.
  • Full Lifecycle Knowledge: Comprehensive understanding of the SDLC, including source control and lifecycle management tools.

Additional Preferred Skills
  • Azure Ecosystem: Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
  • ETL Tools: Experience with SSIS or equivalent enterprise ETL tools.
  • Statistical Languages: Familiarity with R.

Educational Requirements
  • 4-year degree required

Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.