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HomeCompaniesCe3ea629 7c88 404d B58a B90fae72d625 19000101 000001Data Engineer - Oklahoma City, OK

Data Engineer - Oklahoma City, OK

Ce3ea629 7c88 404d B58a B90fae72d625 19000101 000001 · Oklahoma City, OK, US, Oklahoma City, OK · On Site · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
CompanyCe3ea629 7c88 404d B58a B90fae72d625 19000101 000001
TitleData Engineer - Oklahoma City, OK
Normalized title-
Department / team-
LocationOklahoma City, OK, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-03-27 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Ce3ea629 7c88 404d B58a B90fae72d625 19000101 000001.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Oklahoma City.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCe3ea629 7c88 404d B58a B90fae72d625 19000101 000001
Sourcecd685518-c2b6-4913-973e-4fd0d73aef29
ATS providerADP Workforce Now Recruiting

Description

Job Title: Data Engineer Reports To: Manager, Data and Development Location: (on site) Oklahoma City, OK Position Summary: In this role, you will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision making using Snowflake, Matillion, and other tools. You will work closely with IT, business stakeholders, and external partners to design and implement scalable data pipelines, integrate disparate data sources, and ensure high-quality data availability for analysis and reporting. Your work will help drive operational efficiencies and business insights across the organization. Keys to success include strong technical expertise in database design, ELT processes, and cloud data platforms, as well as a keen ability to collaborate across teams, manage multiple projects, and drive innovative data solutions that align with business needs. This is an exciting opportunity to be part of a growing data team, driving data-driven decision-making and operational efficiencies. If you have a passion for data engineering and innovation, we encourage you to apply! Essential Duties and Responsibilities: Design, develop, and maintain data pipelines for extracting, transforming, and loading (ETL/ELT) data from multiple sources into a Snowflake data warehouse using Matillion Data Productivity Cloud. Optimize database performance and ensure efficient data storage, indexing, and retrieval. Collaborate with business units to understand data requirements and implement solutions that support analytics and reporting initiatives. Ensure data integrity, quality, and security through best practices in data governance and management. Support the implementation of data models that enable effective business intelligence and reporting. Develop and maintain documentation for data processes and pipelines. Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy of data workflows. Stay current with emerging data technologies and recommend best-fit solutions for evolving business needs. Support integration efforts between structured and unstructured data sources. Develop scripts, programs, and queries with Python, SQL, and PowerShell. Other duties as assigned. Education and Experience: Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related field. 3-5 years of hands-on experience in data engineering, data warehousing, or ELT development. Experience with Snowflake as a data warehouse solution. Experience with Matillion as an ELT platform. Experience with Microsoft SQL Server, including writing complex SQL queries and optimizing query performance. Familiarity with data modeling techniques and best practices. Knowledge of scripting languages such as Python or PowerShell for automation and data transformation tasks. Experience acquiring data from REST and Graph APIs. Familiarity and use of LLMs in Snowflake Cortex to create AI-powered insights or drive business decisions is desirable. Knowledge of Azure cloud architecture, storage, IAM, and best practices are highly desirable. Skills and Qualifications: Strong understanding of relational databases, data warehousing, and ELT principles. Hands-on experience with SQL, stored procedures, and query optimization. Familiarity with business intelligence tools such as Power BI or Tableau is a plus but not required. Ability to collaborate across teams and communicate technical concepts effectively. Strong analytical and problem-solving skills. Experience implementing data governance and data quality best practices. Ability to manage multiple projects and work in a fast-paced environment. Strong knowledge of APIs and data streaming is preferred. Experience with Agile methodologies and DevOps practices is desirable. Travel Requirements: Minimal travel is expected, 5% or less, for training or key project initiatives. CFS Brands is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 to confirm work authorization. This position is not eligible for immigration sponsorship.

Full job record

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Org IDaca945ea-945b-43c8-a990-6171957a6ec1
Source IDcd685518-c2b6-4913-973e-4fd0d73aef29
Board IDcd685518-c2b6-4913-973e-4fd0d73aef29
Provideradp_workforcenow
Provider Job Key579632
TitleData Engineer - Oklahoma City, OK
Normalized Title
Statusactive
Activeyes
Location TextOklahoma City, OK, US, Oklahoma City, OK
Department
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionOK
CityOklahoma City
Salary Raw
Salary Min
Salary Max
Salary Currency
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Source URLhttps://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=ce3ea629-7c88-404d-b58a-b90fae72d625&ccId=19000101_000001&lang=en_US&type=JS&jobId=579632&jwId=9201037665268_1
Apply URLhttps://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=ce3ea629-7c88-404d-b58a-b90fae72d625&ccId=19000101_000001&lang=en_US&type=JS&jobId=579632&jwId=9201037665268_1
First Seen At2026-05-31 18:55:32Z
Last Seen At2026-06-06 12:50:59Z
Last Checked At2026-06-06 12:50:59Z
Last Changed At2026-06-06 12:50:59Z
Inactive At
Source Posted At2026-03-27 14:33:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=ce3ea629-7c88-404d-b58a-b90fae72d625|19000101_000001/date=2026-06-06/2026-06-06T12-50-57-967Z-118b3cf10e545bd160a1fa612c66857dc27520f97eb14926e31506c00bf6b5e5.json
Event Fields
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Parsed Structured
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Extensions
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You will work closely with IT, business stakeholders, and external partners to design and implement scalable data pipelines, integrate disparate data sources, and ensure high-quality data availability for analysis and reporting. Your work will help drive operational efficiencies and business insights across the organization.</p><p>Keys to success include strong technical expertise in database design, ELT processes, and cloud data platforms, as well as a keen ability to collaborate across teams, manage multiple projects, and drive innovative data solutions that align with business needs.</p><p>This is an exciting opportunity to be part of a growing data team, driving data-driven decision-making and operational efficiencies. 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