381 Data Engineer Jobs in United States

Marcus Thomas
Cincinnati, OH | Full Time
4 Months Ago
Boston Globe Media Partners
Boston, MA | Full Time
$71k-98k (estimate)
Just Posted
Mpg Operations
New York, NY | Full Time
$99k-129k (estimate)
Just Posted
Malvern, PA | Full Time
Just Posted
Carefusion 303
San Diego TC Bldg C&D, CA | Full Time
$76k-102k (estimate)
1 Day Ago
Markel Service
4600 Cox, VA | Full Time
$72k-94k (estimate)
1 Day Ago
Global Atlantic Financial Opportunities
Boston, MA | Full Time
$93k-121k (estimate)
2 Days Ago
Cambridge, MA | Full Time
$82k-110k (estimate)
2 Days Ago
Steel Dynamics
New Haven, IN | Full Time
$62k-83k (estimate)
3 Days Ago
San Antonio, TX | Other
$88k-114k (estimate)
3 Days Ago
Intelligent Waves
Tampa, FL | Full Time
$62k-84k (estimate)
4 Days Ago
Airbus Americas
Atlanta, GA | Full Time
$56k-73k (estimate)
4 Days Ago
Sydney, FL | Full Time
5 Days Ago
Palo Alto, CA | Full Time
$76k-105k (estimate)
6 Days Ago
Dallas, TX | Full Time
$64k-87k (estimate)
6 Days Ago
Lehi, UT | Full Time
$71k-92k (estimate)
6 Days Ago
Ontic Engineering Manufacturing
Creedmoor, NC | Full Time
$75k-99k (estimate)
7 Days Ago
Tii Family Companies
Coraopolis, PA | Full Time
$86k-110k (estimate)
7 Days Ago
Farmers Branch, TX | Other
$98k-126k (estimate)
7 Days Ago
Everest Technologies
Atlanta, GA | Full Time
$60k-82k (estimate)
1 Week Ago
Lecce, NM | Full Time
$65k-86k (estimate)
1 Week Ago
Rubio Restaurants
Carlsbad, CA | Full Time
$71k-96k (estimate)
1 Week Ago
Aristocrat Technologies
Franklin, TN | Full Time
$95k-122k (estimate)
1 Week Ago
Heritage Auctions
Irving, TX | Full Time
$73k-95k (estimate)
1 Week Ago
Fresh Consulting
Remote. Must live and work in AZ or CA or IL or IN or NV or NY or OR or TX or UT or WA, AZ | Contractor
$73k-97k (estimate)
1 Week Ago
Kroenke Sports Entertainment
Denver, CO | Full Time
$82k-110k (estimate)
1 Week Ago

Data Engineer

Marcus Thomas Cincinnati, OH
Full Time | Business Services 4 Months Ago

Location: Cincinnati, Ohio           

Reports To: VP, Analytics



Analytics is a rapidly growing practice within Marcus Thomas LLC. We leverage data analytics to deliver actionable insights, understanding and measurable business outcomes that create a competitive advantage for our clients. We know how to collect the right data and make sense of it. This is achieved through a proven approach, providing our clients with a single source of truth that informs and empowers data-driven decision-making.  

What You’ll Do:
As a Data Engineer, you will have the opportunity to build solutions that ingest, store and distribute our big data to be consumed by data scientists and analysts. Our data engineers use Python, SQL, Java, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, analysts, products and tools.

Essential Duties and Responsibilities:

  • Participate in the development of cloud-based solutions
  • Assemble large, complex datasets that meet functional/nonfunctional business requirements
  • Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources, using SQL, Google and/or AWS “big data” technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Work with data and analytics experts to strive for greater functionality in our data systems.




  • Advanced SQL knowledge and experience working with relational databases, query authoring (SQL), and a working familiarity with a variety of databases
  • Experience building and optimizing “big data” data pipelines, architectures and datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytics skills related to working with unstructured datasets
  • Ability to build processes supporting data transformation, data structures, metadata, dependency and workload management
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets
  • Strong project management and organizational skills
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • We’re looking for someone with 1-5 years of experience manipulating datasets and building statistical models, with a background in statistics, mathematics, computer science or another quantitative field
    • Experience with Google/AWS cloud services: BigQuery, Cloud Functions, EC2, EMR, RDS, Redshift, etc.
    • Experience with ETL platforms: Fivetran, Funnel.IO, etc.
    • Experience with SQL: SQL Server, Oracle, etc.
    • Experience with data pipeline and workflow management tools: Airflow, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C , Scala, etc.

Reasons You’ll Love Working Here:

  • Flexible scheduling; hybrid environment
  • A passion for diversity – a safe place to work where all voices are encouraged and respected
  • Benefits like adult PTO, where the primary guideline is to use common sense – use what you need 
  • Assistance for student loan repayment – because it’s the right thing to do
  • Opportunities to contribute to the development and growth of the company
  • But most of all, a connected, caring, fun place to do great things






200 - 500








$50M - $200M


Business Services

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About Marcus Thomas

Marcus Thomas is a fully integrated marketing communications agency focused on audience insight, idea generation and alternative delivery.

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Marcus Thomas
Full Time
$107k-131k (estimate)
3 Weeks Ago

If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

03/12/2022: Dothan, AL

A data engineer prepares data for analytical or operational uses.

03/03/2022: Boulder, CO

Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

02/10/2022: Winston Salem, NC

Consider pursuing additional professional engineering or big data certifications.

03/09/2022: Saginaw, MI

Step 3: View the best colleges and universities for Data Engineer.

Butler University
Carroll College
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