Data Engineer

Reposted 6 Days Ago
Austin, TX
Senior level
Energy
The Role
As a Data Engineer, you will design and optimize data pipelines, integrate AI/ML frameworks, lead a data engineering team, and ensure data governance and security standards are met.
Summary Generated by Built In

This role will be based onsite at our Headquarters in Austin, TX.

Who We Are

Headquartered in Austin, TX with operations in Kermit and Monahans, TX, Atlas Energy Solutions is the leading provider of high-quality frac sand and innovative logistics solutions to Exploration & Production operators and oil field service providers in the Permian Basin. We are proud of what we do – we have state of the art manufacturing facilities, premium offerings, outstanding customer service, an exceptional work culture, and a commitment to giving back to the community.             

We’re very excited about what we see in front of us, and we think you will be too – so come join our team and contribute to our growth!

How You Will Make an Impact

We are seeking an experienced an AI-driven Data Engineer to lead the design, development, and optimization of our data ecosystem. The ideal candidate will have strong experience in building scalable data pipelines, managing data teams, integrating AI/ML models into data workflows.. This role requires a mix of hands-on technical expertise and leadership skills to drive AI-powered data initiatives across the organization. Candidate will collaborate with business stakeholders to translate operational needs into technical solutions while ensuring that end-to-end business processes are efficiently supported and continuously improved.

Key Responsibilities:

Data Engineering & AI Integration:

  • Design, develop, and maintain aesthetically compelling, high-performance AI driven dashboards tailored to business needs.
  • Architect, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Implement AI-driven data processing and optimization techniques.
  • Work with AI/ML teams to operationalize machine learning models in production environments.
  • Develop real-time and batch data processing solutions using big data technologies.
  • Ensure high availability, performance, and security of data platforms.

Team & Project Management:

  • Lead and mentor a team of data engineers, ensuring best practices in data engineering and AI integration.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
  • Drive the adoption of AI automation in data workflows for enhanced efficiency.
  • Oversee project timelines, deliverables, and ensure alignment with business objectives.

Data Governance & Security:

  • Implement data governance, privacy, and compliance best practices
  • Monitor data quality, integrity, and lineage using AI-driven monitoring solutions.
  • Optimize data lakes, warehouses, and cloud infrastructure for cost and efficiency.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in data engineering, with at least 2+ years in a managerial role.
  • Expertise in Microsoft Fabric, including Dataflows Gen2, Data Pipelines, Data Engineering, and Data Factory.
  • Proficient in creating Power BI dashboards with strong design and aesthetic sensibilities.
  • Familiarity with Medallion architecture principles for data pipelining and transformation.
  • Strong programming skills in SQL.
  • Fabric Real-Time Intelligence is desirable for real-time data processing and analytics.
  • Proficiency in Python, SQL, Spark, or Scala for data processing.
  • Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Kafka, Snowflake, Databricks, Hadoop).
  • Strong knowledge of AI/ML concepts and experience in integrating AI tools into data engineering.
  • Familiarity with CI/CD, Kubernetes, and Infrastructure as Code (Terraform, Docker, etc.).

Preferred Qualifications:

  • Hands-on experience with MLOps and deploying machine learning models.
  • Expertise in real-time data streaming (Kafka, Flink, Kinesis).
  • Experience implementing data mesh and decentralized architectures.
  • Certifications in AWS Data Analytics, Google Data Engineer or similar.

What You Will Love About Us

  • Best People and Team. Great Place to Work For, Hire Vets, Top Place to Work For – Austin American Statesman
  • Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision
  • Invest in Your Future. 401K with company match, immediate vesting
  • Relax and Recharge. Paid time off and 15+ company paid holidays, half day every other Friday

__PRESENT

__PRESENT

Top Skills

AWS
Azure
Ci/Cd
Databricks
Docker
GCP
Hadoop
Kafka
Kubernetes
Microsoft Fabric
Power BI
Python
Scala
Snowflake
Spark
SQL
Terraform
Am I A Good Fit?
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The Company
HQ: Austin, TX
124 Employees
On-site Workplace
Year Founded: 2017

What We Do

Founded organically by Permian operators, Atlas Sand provides the Oil & Gas industry access to the largest, highest quality frac sand reserves in West Texas. This local sand advantage will reduce well costs and remove the risk of delayed or lost delivery associated with long distance transportation.

Atlas has expansive reserves on both ends of the West Texas sand play with the large open Kermit Dune position to the north and the giant open Monahans Dune position to the south. This gives Atlas the unique ability to be the closest local sand provider to more wellheads than any of its counterparts.

Atlas Sand is excited to further competitively differentiate the already dominant Permian advantage by pairing our local high quality sand with the very best reservoirs and operators in the business. Atlas Sand designed its state-of-the-art frac sand plants with redundancy and flexibility to greatly reduce down time allowing Atlas to reliably and consistently produce more tons per year with less stress on our equipment and our employees.

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