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Contract Databricks Data Engineer Jobs in Yukon, OK

Expand Energy

Sr. ML Ops Engineer

Oklahoma City, OK · On-site

$85K - $117K/yr

Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks * Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and ...

Expand Energy

Sr. ML Ops Engineer

Oklahoma City, OK · On-site

$85K - $117K/yr

Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks * Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and ...

Element Materials Technology

Data Processor

Edmond, OK · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Element Materials Technology

Data Processor

Norman, OK · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Yukon, OK

Contract Databricks Data Engineer information

See Yukon, OK salary details

$37.5K

$109.4K

$149.7K

How much do contract databricks data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for contract databricks data engineer in Yukon, OK is $109,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $116,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

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Contract Databricks Data Engineer jobs near you

Senior Data Analyst - Reservoir Engineering

Continental Resources, Inc.

Oklahoma City, OK • On-site

$79K - $100K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary
The Senior Data Analyst - Reservoir Engineering is primarily responsible for executing projects to streamline processes and produce data-driven insights to support the Resource Development engineering team and other stakeholders across the organization. A successful candidate will actively seek and generate new and innovative ways to retrieve, visualize, and analyze data across a variety of operational, geologic and financial data sources.
Duties and Responsibilities
  • Collaborates with varying levels of reservoir engineers, petrotechnical professionals, financial professionals, and management to effectively gather data/reporting requirements and build complex datasets, visualizations, analytical tools, and reports.
  • Discovers and troubleshoots data issues across sources and drives issues to resolution.
  • Mentors and trains junior staff; creates training content and executes across the team, department, and company.
  • Utilizes SQL to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create data tables and views in Databricks.
  • Owns, maintains and enhances business-critical Spotfire and Power BI analyses; creates new projects from scratch using data from a variety of sources across the enterprise.
  • Leverages automation and AI tools to streamline processes, automate manual workflows, and create scalable, enterprise solutions.
  • Performs data capture processes as necessary to support analytics efforts.
  • Other duties as assigned.

Skills and Competencies
  • Strong understanding of E&P operations, with in-depth knowledge of reservoir engineering concepts, geoscience data, and business development projects.
  • Problem solver capable of anticipating engineering requirements and proactively recommending solutions and data-driven insights.
  • Understands the data models of Continental's primary data sources including Aries, WellView, SiteView, ProCount, Planning Analytics, eGIS, WLM, S&P Global, and Enverus.
  • Detail oriented with ability to retrieve, organize, and synthesize large amounts of data to generate high-quality, executive-level quality presentations in an efficient manner.
  • Advanced skills with data & analytics applications.
  • Advanced knowledge of data modeling and data integration principles and techniques.
  • Advanced programming skills capable of using all available techniques.
  • Flexible and adaptable, quickly adjust to process changes and shifting priorities.

Required Qualifications
  • High School Diploma or GED.
  • Minimum of eight (8) years of experience within the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.
  • Advanced experience in Aries or other Economic Evaluation software with thorough understanding of economic engine, data streams, data models.
  • Advanced skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems and create data tables and views within CLR's data warehouse.
  • Advanced skills in Spotfire with the ability to use, deconstruct, and enhance existing analyses and create new projects leveraging multiple data sources and data functions.
  • An acceptable pre-employment background and drug test.

Preferred Qualifications
  • Bachelor's Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting or related degree.
  • Intermediate skills developing automated workflows using UiPath, Grooper or Alteryx
  • Advanced coding skills in R or Python

Physical Requirements and Working Conditions
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.

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