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Motion Recruitment Partners Data Engineer in Fort Worth, Texas

Data Engineer

Fort Worth, TX

Hybrid

Contract

$83.33/hr - $93.33/hr

Fort Worth, TX company is seeking a Data Engineer to join their team for a contract opportunity.

Leverage the latest technology to solve business problems in a collaborative environment at this Fortune 500 transportation giant. Top technical resources are retained on long-term contract engagements.

Responsible for leveraging cutting edge technology to solve business problems by participating in all phases of the development process from inception through transition, advocating the agile process and test-driven development, using object-oriented development tools to analyze, model, design, construct and test reusable objects, and making the codebase better.

Contract Duration: 7 Months

Required Skills & Experience

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.

  • 5 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.

  • 5 years data analytics experience using SQL.

  • 5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.

  • Combination of Development, Administration & Support experience in several of the following tools/platforms required:

  • Scripting: Python, Spark, Unix, SQL.

  • Data Platforms: Teradata, Couchbase, MongoDB, Oracle, SQL Server, ADLS, Snowflake

  • Azure Data Explorer. Administration skills a plus.

  • Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions.

  • CI/CD: GitHub, Jenkins, Azure DevOps, Terraform.

  • BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana.

  • Data Warehousing: DataStage, Informatica.

  • Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers.

  • Expertise in providing practical direction within the Azure Native cloud services.

Desired Skills & Experience

  • 5+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.

  • 5+ years data analytics experience using SQL.

  • 3+ years full-stack development experience, preferably in Azure.

  • 3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.

  • Airline Industry Experience.

  • Azure Development Track Certification.

  • Spark Certification.

You will receive the following benefits:

  • Medical Insurance - Four medical plans to choose from for you and your family

  • Dental & Orthodontia Benefits

  • Vision Benefits

  • Health Savings Account (HSA)

  • Health and Dependent Care Flexible Spending Accounts

  • Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance

  • Hospital Indemnity Insurance

  • 401(k) including match with pre and post-tax options

  • Paid Sick Time Leave

  • Legal and Identity Protection Plans

  • Pre-tax Commuter Benefit

  • 529 College Saver Plan

Motion Recruitment Partners is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.

Posted by: Cate Novak

Specialization: Data Engineering

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