Senior Data Engineer - Energy Sector

Certus Sales Recruitment; Austin (TX); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Generous PTO

Flexible hybrid working

Professional development

Medical, dental, and vision coverage

Job summary

Certus Sales Recruitment is seeking a Senior Data Engineer for a hybrid role in Austin, TX, paying $160–180k plus excellent benefits. You will design and implement large-scale data infrastructure that powers analytics and decision-making for the energy sector.

Key responsibilities include building robust ETL/ELT pipelines and ensuring the reliability and efficiency of data systems. The ideal candidate has strong SQL, Python skills, and a degree in a relevant field.

The position also offers generous PTO, flexible working options, and professional development opportunities.

Qualifications

• 3+ years’ experience in production‑grade ETL/ELT and large dataset management.
• Experience with modern data stack tools (Airflow, dbt, Kafka, Spark, Flink).
• Solid AWS knowledge (S3, Redshift, Lambda, Glue, ECS/EKS) plus Terraform or CloudFormation.

Responsibilities

• Create scalable ETL/ELT workflows to ingest, clean, and transform high-volume energy market datasets.
• Architect streaming systems for live market forecasting and operational decisions.
• Establish monitoring, validation, and alerting frameworks to maintain quality.

Skills

SQL

Python

ETL/ELT

AWS

Kafka

Airflow

CI/CD

Education

Degree in Computer Science, Data Engineering, or related field

Tools

Snowflake

BigQuery

Terraform

GCS/EKS

dbt

Spark

Flink

Job description

Senior Data Engineer – Energy Sector

Austin, TX – Hybrid

$160–180k + Excellent Benefits

Our client, a leading innovator in the energy sector, is seeking a Senior Data Engineer to design and deliver large-scale, high-performance data infrastructure powering advanced analytics, forecasting, and real‑time decision‑making.

This is a hands‑on, high‑impact role where you’ll build robust pipelines, integrate diverse datasets, and ensure data is available, accurate, and ready to drive mission‑critical operations. You’ll work across data science, trading, and engineering teams, shaping the future of energy intelligence.

Role Overview

• Design & build pipelines – Create scalable ETL/ELT workflows to ingest, clean, and transform high-volume energy market, asset, and weather datasets.
• Enable real‑time insights – Architect streaming systems for live market forecasting, congestion analysis, and operational decisions.
• Optimise storage & access – Implement efficient lakes and warehouses for fast, secure data delivery.
• Integrate diverse data sources – Combine ISO market feeds, asset telemetry, weather APIs, and historical data into unified platforms.
• Ensure reliability – Establish monitoring, validation, and alerting frameworks to maintain quality and availability.
• Collaborate widely – Partner with commercial, engineering, and data science teams to deliver production‑ready solutions.
• Drive innovation – Research and deploy tools and architectures to improve speed, scalability, and maintainability.

About You

• 3+ years’ experience in production‑grade ETL/ELT and large dataset management.
• Strong SQL and Python skills.
• Experience with modern data stack tools (Airflow, dbt, Kafka, Spark, Flink).
• Solid AWS knowledge (S3, Redshift, Lambda, Glue, ECS/EKS) plus Terraform or CloudFormation.
• Skilled in warehousing/lake platforms (Snowflake, BigQuery, Delta Lake).
• Familiarity with streaming architectures (Kafka, Kinesis, Pulsar).
• Comfortable with Git workflows, CI/CD, and testing pipelines.
• Energy market knowledge is a plus, not a must.
• Degree in Computer Science, Data Engineering, or related field (advanced degree/certifications welcome).

What’s on Offer

• $160–180k base + benefits
• Generous PTO
• Flexible hybrid working
• Professional development
• Medical, dental, and vision coverage