Job summary
Job post source
This job is directly from Electric Power Engineers (EPE)
Job overview
The Senior Data Engineer at EPE plays a key role in designing and maintaining scalable data pipelines to support advanced energy intelligence and grid modernization efforts.
Responsibilities and impact
The role involves building and maintaining data pipelines, implementing data models, collaborating with data scientists and analysts, ensuring data quality, optimizing workflows, troubleshooting data issues, and documenting data processes.
Compensation and benefits
The position offers comprehensive health benefits with 100% premium coverage, generous PTO and paid holidays, 401K with up to 4% match fully vested from day one, and flexible work options including remote and hybrid arrangements.
Experience and skills
Candidates need 4+ years in data engineering, experience with ETL/ELT tools like Glue and dbt, proficiency in Python, strong SQL skills, familiarity with AWS and big data technologies, knowledge of data governance and quality principles, and experience with CI/CD, containerization, and version control. Preferred qualifications include power industry experience and AI/ML expertise.
Career development
EPE offers opportunities for professional growth through working with cutting-edge cloud technologies, AI/ML pipelines, and collaboration with experts in software engineering and power grid analytics.
Work environment and culture
EPE promotes a flexible work environment with remote and hybrid options, values innovation and collaboration, and supports employee wellness with comprehensive benefits.
Company information
Electric Power Engineers is a leader in power and energy consulting with over 50 years of experience, focusing on renewable energy and grid modernization through advanced software and engineering solutions.
Team overview
The candidate will join the data engineering team working under the Principal Data Engineer, collaborating closely with data scientists, analysts, and other stakeholders.
Job location and travel
The position is remote with flexibility for hybrid work based in Austin, TX.
Application process
Applicants can apply directly to EPE and should contact applicationassistance@epeconsulting.com for special assistance; unsolicited third-party recruiter resumes are not accepted and will not be compensated.
Unique job features
The job offers unique opportunities to work on AI-driven energy forecasting, anomaly detection, and grid optimization projects using advanced cloud and big data technologies.
Company overview
Energy Hire is a company specializing in the recruitment and placement of professionals within the energy sector, including oil, gas, renewable energy, and utilities. They generate revenue by offering staffing solutions, such as temporary, permanent, and contract placements, to businesses in need of skilled workers in these industries. Founded with the mission to bridge the talent gap in the energy sector, Energy Hire has established a reputation for connecting qualified candidates with leading companies. Their expertise in the energy market and commitment to understanding client needs have positioned them as a trusted partner in workforce solutions.
How to land this job
Tailor your resume to emphasize your experience in building scalable data pipelines, proficiency with ETL/ELT tools like AWS Glue and dbt, and strong skills in Python and SQL as these are core to the Senior Data Engineer role at Energy Hire.
Highlight your familiarity with cloud platforms, especially AWS, data orchestration tools such as Airflow or Prefect, and knowledge of big data technologies like Spark and Snowflake to align with the job requirements.
Apply to multiple platforms including Energy Hire's corporate careers page and LinkedIn to maximize your application's visibility and chances of consideration.
Connect with current Senior Data Engineers or team members in Energy Hire's data engineering division on LinkedIn; use ice breakers like commenting on their recent projects related to energy grid optimization or asking about their experience working with AI-driven energy forecasting models.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'AWS Glue,' 'Python,' 'data orchestration,' 'Spark,' 'data governance,' and 'energy industry' to ensure your resume passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailoring your resume, identify the best application channels, and find relevant LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and advancing your job search.
Jennie Johnson works for you!
Here’s what we do to make sure you’re successful:
Targeted Resume Revamp:
We expertly craft your resume to navigate Applicant Tracking Systems (ATS) and showcase your qualifications, making you stand out as a top-tier candidate.
Job Description Dissection:
Unpack the job posting with expert analysis, ensuring your application hits every key requirement.
Bespoke Cover Letter:
Capture the attention of hiring managers with a personalized cover letter that highlights how your skills align perfectly with the job's needs.
Interview Mastery:
Prepare for interviews like a pro with likely questions, strategic answers, and insightful questions for you to ask, setting you apart as an informed candidate.
Direct Application Insights:
Receive tailored advice on the best places to apply, ensuring your applications are seen by the right employers.
Skills and Gaps Assessment:
Identify and close critical skills gaps to position yourself as the best-fit candidate for your ideal job.
Personalized Email Pitch:
Make a memorable first impression with an email template crafted to engage potential employers and initiate meaningful conversations.
In-depth Research Guide:
Leverage comprehensive research tools to gather effective insights on companies, industry trends, and role-specific challenges.
Detailed Company Analysis:
Gain in-depth understanding of your prospective employer, giving you the edge in applications and interviews.
Strategic Candidate Overview:
Understand your unique value and why companies would want to interview you, highlighting your background and positioning.