• Lead Data Engineer

    Insight Global (Farmers Branch, TX)


    Job Description

    This large transportation company is searching for a Lead Data Engineer to join our Data Analytics team. The successful candidate will work with the Data Analytics teams to develop and maintain data pipelines in both Azure utilizing Databricks, Python and SQL. Pipelines built will support a high availability system utilized by rail customers in North America. The engineer should have extensive experience in data mining and transformation and be confident in data engineering best practices and coding strategies. This client uses the latest technology stacks, currently both AWS and Azure cloud environments. The work will consist of. Working with data engineers to facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met. The role will be 3 days onsite and 2 days remote. Must be available to interview in Person in Dallas, TX.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    Bachelor’s Degree Computer Science, Information Management, or related field; Masters preferred

     

    5+ years relevant experience or 3+ years with Masters

     

    Databricks experience building data pipelines and workflows is a must

     

    Advanced skills in Spark, SQL, python

     

    Technical expertise regarding data models, database design/Development, data mining and other segmentation techniques

     

    Experience coding with a team utilizing repositories and multiple coding environments

     

    Experience working with IOT and/or geospatial data in a cloud environment (Azure)

     

    Responsible for data ingress into storage

     

    Must possess effective communication skills, both verbal and written

     

    Strong organizational, time management and multi-tasking skills

     

    Experience with data conversion, interface and report development

     

    Adept at queries, report writing and presenting findings

     

    Process improvement and automation a plus

     

    Work with management to prioritize business and information needs Databricks Data Engineering certifications