381 Data Engineer Jobs in United States

Archer-Daniels-Midland Company
Erlanger, KY | Full Time
5 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

Full Time | Consumer Goods 5 Months Ago

Data Engineer


Data Engineer will work on designing, building, and implementing data foundations to support strategic analytics projects that drive strategic growth for ADM. This involves liaising with functional teams that build or acquire the underlying data, application owners to understand raw or source data structures, and end users to accurately design strategic data marts. Finally, designing and building data pipelines, ETL/ELT integrations, constructing and modifying data marts, preparing (cleaning, transforming) data, and collaborating with extended team members to design impactful business solutions. Data Engineer needs to have expert technical knowledge of platforms and software technology (ETL/ELT, SQL, Power BI, Python), deep expertise in data management techniques, ability to drive effective support of data analysis and model management, and experience with IT project management practices

  • Standardize data and reporting across businesses and teams to enable consistency and quality of key business data
  • Design and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practices
  • Design, develop, test and document data integrations and assist with deployment, validation and hypercare
  • Maintain and support ETL/ELT integrations using technical documentation
  • Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirements
  • Develop and maintain SQL, PL/SQL, Python code as needed
  • Assist with review to confirm technical feasibility of integration development objects based on integration principles and best practices
  • Understand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.)
  • Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making
  • Propose new methodologies to demonstrate data to improve existing methodologies
  • Developing prototypes and proof of concepts for required solutions
  • Implementing information security standards in enterprise data warehouse
  • Prepare and present ideas and recommendations to colleagues and management
  • Document solutions through high/low level design documentation
  • Learn new groundbreaking data engineering and analytic tools as needed
  • Contribute to development of the overall solution approach
  • Recommend solutions to address gaps

  • 4-year Bachelor’s degree or equivalent in IT, Computer Science, Science, Engineering, Statistics, Programming, Business Analytics, Mathematical or related field
  • At least 2 years of enterprise BI and Analytics technical experience implementing data warehouse and data marts in an Agile environment
  • 2 years of recent experience using data integration, ETL, ELT, data replication, and data warehouse automation tools such as Qlik Replicate, Qlik Compose, Microsoft Azure Data Factory, Oracle Data Integrator, Informatica Power Center or Microsoft SQL Server Integration Services
  • 2 years of recent experience in data processing using SQL, Python
  • Experience with MPP systems, Azure Synapse preferred
  • Experience with databases like Microsoft SQL Server, Oracle
  • Experience delivering Cloud based Data Solutions in Azure
  • Experience with Data Virtualization technologies and tools, Denodo preferred
  • Working knowledge of BI architecture, dimensional modeling, data warehousing best practices, and data integration standard methodologies
  • Experience in delivering solutions using iterative development methodologies like Agile, KanBan, DevOps
  • Experience working with Big Data technologies such as Spark, Kafka, DataBricks, Hive, or equivalent
  • Experience with visualization technologies and services including Microsoft Power BI, SAP Analytics Cloud, Oracle Business Intelligence is a plus
  • Working knowledge of Python ML libraries like Scikit-learn/PyTorch or Azure ML
  • Experience working in DevOps / CICD framework is a plus
  • Experience with metadata management discipline and practices using Information Steward is a plus
  • High accountability with a demonstrated ability to deliver
  • Strong communication skills including design documentation
  • Strong collaboration skills working with architecture, design and development teams






15,000 - 50,000










Consumer Goods

Related Companies
About Archer Daniels Midland

ADM processes cereal grains and oilseeds into products used in food, beverage, nutraceutical, industrial and animal feed markets.

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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
Cooper Union
High Point University
Princeton University
Providence College
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