Motion Recruitment
Senior Data Engineer (ADF / Fabric / ETL)
Motion Recruitment, Dallas, Texas, United States, 75215
Job Description
A pioneering energy company is looking for a Senior Data Engineer for their Grapevine, TX office. Their portfolio includes a diverse range of energy projects, from traditional power generation to innovative renewable energy sources such as wind, solar, and hydroelectric power. They are committed to reducing carbon emissions, enhancing energy efficiency, and ensuring energy security for the future. Their team is composed of passionate professionals who are dedicated to driving change in the energy industry and creating a sustainable future for generations to come.
They are seeking an experienced Senior Data Engineer to join their dynamic team and lead the development of their data infrastructure. In this role, you will be responsible for designing, implementing, and optimizing scalable data pipelines that support their complex energy operations. You will work closely with data scientists, analysts, and engineering teams to manage large datasets, ensure data integrity, and drive advanced analytics initiatives. The ideal candidate will have extensive experience in data engineering, with a deep understanding of cloud-based data platforms, ETL processes, and big data technologies. Your work will be instrumental in enabling data-driven decision-making and optimizing their energy production and distribution processes.
Required Skills & Experience3+ years of experience in Azure Data Factory / MS Cloud Data EngineeringExperience with ETL pipelining (building from scratch)Experience with FabricExperience with DatabricksExperience with PowerBI - SSISExperience with SQLDesired Skills & Experience
Experience with data lakes - data warehousingExperience programming within Python is a plus (open to Scala)Tech Breakdown
95% Data Engineering5% programming within PythonDaily Responsibilities
100% collaborating with the team100% cross-collaboration with other teams in the IT department100% stakeholder engagement between technical & nontechnical individualsBenefits
401(K)Lots of room for growthMedical InsuranceDental BenefitsVision BenefitsHybrid schedule (2x a week)Paid Time Off (PTO)Professional development opportunities and continuous learning programsApplicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted by:
Lily Hodge
Specialization:
Data Engineering
A pioneering energy company is looking for a Senior Data Engineer for their Grapevine, TX office. Their portfolio includes a diverse range of energy projects, from traditional power generation to innovative renewable energy sources such as wind, solar, and hydroelectric power. They are committed to reducing carbon emissions, enhancing energy efficiency, and ensuring energy security for the future. Their team is composed of passionate professionals who are dedicated to driving change in the energy industry and creating a sustainable future for generations to come.
They are seeking an experienced Senior Data Engineer to join their dynamic team and lead the development of their data infrastructure. In this role, you will be responsible for designing, implementing, and optimizing scalable data pipelines that support their complex energy operations. You will work closely with data scientists, analysts, and engineering teams to manage large datasets, ensure data integrity, and drive advanced analytics initiatives. The ideal candidate will have extensive experience in data engineering, with a deep understanding of cloud-based data platforms, ETL processes, and big data technologies. Your work will be instrumental in enabling data-driven decision-making and optimizing their energy production and distribution processes.
Required Skills & Experience3+ years of experience in Azure Data Factory / MS Cloud Data EngineeringExperience with ETL pipelining (building from scratch)Experience with FabricExperience with DatabricksExperience with PowerBI - SSISExperience with SQLDesired Skills & Experience
Experience with data lakes - data warehousingExperience programming within Python is a plus (open to Scala)Tech Breakdown
95% Data Engineering5% programming within PythonDaily Responsibilities
100% collaborating with the team100% cross-collaboration with other teams in the IT department100% stakeholder engagement between technical & nontechnical individualsBenefits
401(K)Lots of room for growthMedical InsuranceDental BenefitsVision BenefitsHybrid schedule (2x a week)Paid Time Off (PTO)Professional development opportunities and continuous learning programsApplicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted by:
Lily Hodge
Specialization:
Data Engineering