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Petroleum Engineer Rotation Jobs in Atlanta, GA (NOW HIRING)

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Petroleum Engineer Rotation information

See Atlanta, GA salary details

$40.4K

$77K

$130.8K

How much do petroleum engineer rotation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for petroleum engineer rotation in Atlanta, GA is $76,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,300.00 and $109,600.00 per year, depending on experience, location, and employer.

What is a petroleum engineer rotation?

A Petroleum Engineer Rotation is a structured program where early-career engineers work in different roles or locations within a petroleum company over a set period, typically 1-3 years. These rotations expose engineers to various aspects of the oil and gas industry, such as drilling, production, reservoir management, and field operations. The goal is to develop a broad skill set, gain hands-on experience, and identify areas of interest for long-term career growth. Rotational programs often include mentoring and formal training components to support professional development.

What are some common challenges petroleum engineers face during rotational assignments, and how can they prepare for them?

Petroleum Engineers in rotational programs often encounter challenges such as adapting to different work environments, managing variable schedules (including remote or on-site locations), and quickly learning site-specific processes. These rotations require strong adaptability, effective communication skills, and an eagerness to learn from diverse teams. Preparing by researching each site, staying organized, and seeking mentorship can help ease transitions and ensure successful contributions throughout the rotation.

What are the key skills and qualifications needed to thrive as a petroleum engineer on a rotational schedule, and why are they important?

To thrive as a Petroleum Engineer in a rotational position, you typically need a degree in petroleum, chemical, or mechanical engineering along with strong analytical and problem-solving abilities. Familiarity with industry-specific software such as reservoir simulation tools, drilling design platforms, and safety management systems is often required. Excellent teamwork, adaptability, and strong communication skills are essential for collaborating effectively across different sites and shifts. These skills and qualifications ensure safe, efficient, and innovative operations in remote or challenging environments, maximizing productivity and minimizing risk.

What is the difference between Petroleum Engineer Rotation vs Reservoir Engineer?

AspectPetroleum Engineer RotationReservoir Engineer
CredentialsBachelor's in Petroleum Engineering or related field; Professional Engineer (PE) license often preferredBachelor's or Master's in Petroleum Engineering, Reservoir Engineering, or Geosciences; PE license optional
Work EnvironmentOn-site at drilling sites, production facilities, and offshore platforms with rotational schedulesOffice-based, analyzing subsurface data, reservoir modeling, and production optimization
Industry UsageCommon in oil and gas exploration and production companies, especially with rotational work programsPrimarily in reservoir management, simulation, and production planning within oil companies

Petroleum Engineer Rotation and Reservoir Engineer roles share similar credentials and industry environments. However, Petroleum Engineer Rotation focuses on field operations with rotational schedules, while Reservoir Engineers concentrate on subsurface analysis and reservoir management. Both roles are vital in the oil and gas industry but serve different functions within exploration and production processes.

What are popular job titles related to Petroleum Engineer Rotation jobs in Atlanta, GA?

For Petroleum Engineer Rotation jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Petroleum Engineer Rotation jobs in Atlanta, GA look for?

The top searched job categories for Petroleum Engineer Rotation jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Petroleum Engineer Rotation jobs?

Cities near Atlanta, GA with the most Petroleum Engineer Rotation job openings:

Petroleum Engineer Rotation jobs near you

Senior Manager, Data Engineering

PDI Technologies

Alpharetta, GA • On-site

Full-time

Posted 16 days ago

Key responsibilities

  • Own the architecture and delivery of a unified data ingestion framework for batch, CDC, and streaming sources.

  • Manage production Spark Structured Streaming pipelines, including watermarking, stateful joins, checkpointing, and exactly-once sinks.

  • Oversee the Apache Iceberg lakehouse, including partitioning, file management, schema evolution, and multi-engine interoperability.

PDI Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By "Connecting Convenience" across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy.  We're a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.

Role Overview

You will own how data gets into our platform and how it gets served back out - ingestion, the lakehouse, and the query layer underneath everything analytics and product depend on. 

The problem is specific. Data arrives from CDC streams, transactional databases, event topics, partner APIs, and files, and today each source carries its own pipeline, its own failure modes, and its own on-call story. Your mandate is to collapse that into one ingestion framework and one open lakehouse - reliable enough to publish SLOs against, fast enough to serve interactive query, and cheap enough to defend line by line. 

This is a hands-on role. You will set technical direction, hire, and grow the team - and you will also be in design reviews, in code review, and in the pipeline when a stateful stream will not recover from its checkpoint. Expect roughly half your time in technical work. 

You own the full path: how data lands, the table format and its lifecycle, the transformation layer, the engines that serve it, and the SLOs on top of all of it. When a dataset is late or wrong, it is your team's phone that rings - and you are expected to have already built the thing that catches it first.

What you will do:
  • Lead, hire, and grow a team of 10+ data engineers - set the technical bar through design and code review, not through status meetings. 
  • Own the architecture and delivery of a unified ingestion framework: one configuration-driven path for batch, CDC, and streaming sources, with schema evolution, replay and backfill, idempotency, dead-letter handling, and data contracts built into the framework rather than reimplemented per pipeline. 
  • Own production Spark Structured Streaming pipelines - watermarking, stateful joins and aggregations, checkpoint and restart discipline, exactly-once sinks, lag and backpressure management. 
  • Own the Apache Iceberg lakehouse: partition and sort strategy, file sizing and compaction, snapshot and orphan-file lifecycle, schema and partition evolution, and multi-engine interoperability. 
  • Set the dbt modeling standard - layering conventions, tests, contracts, CI enforcement, and lineage that stakeholders trust. 
  • Own Trino catalog design, workload isolation, and query performance for interactive and federated access. 
  • Define and meet freshness, completeness, and latency SLOs. Run a 24x7 on-call rotation with a short mean time to restore. 
  • Own cost: a defensible cost-per-pipeline and cost-per-dataset number, and the levers to move it. 
  • Partner with product, analytics, and architecture to sequence the roadmap, and bring rigor to decisions - collect the data, seek dissent, and run pilots rather than arguing from opinion
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 
  • 8+ years in data engineering, including 3+ years leading engineers as a manager or tech lead - and you are still hands-on in code and design. 
  • Production experience with Spark Structured Streaming at scale: state store growth, checkpoint recovery, watermark tuning, and late or out-of-order data. 
  • Deep Apache Spark and PySpark performance work - diagnosing and fixing skew, shuffle pressure, small-file problems, and executor memory failures on real workloads. 
  • Experience building or substantially owning a reusable ingestion framework serving multiple source types - not a collection of individual pipelines. 
  • Production experience with an open table format (Apache Iceberg preferred) including schema and partition evolution, compaction strategy, and migration from an existing format. 
  • Experience with dbt as a team-wide modeling standard, including testing and CI. 
  • Experience with Trino or Presto operations and query optimization. 
  • Experience running reliable, high-scale platform systems - 24x7 on-call, availability targets, and fast restoration of service
Preferred Qualifications
  • Apache Flink, Kafka or MSK internals, or high-throughput stream-join design. 
  • CDC tooling in production (Debezium, DMS, GoldenGate, Qlik) and integrating legacy or mainframe sources into modern pipelines. 
  • Data contracts, catalog, and lineage tooling (DataHub, OpenMetadata, Glue, Unity). 
  • Iceberg REST catalog implementations and multi-engine interoperability. 
  • AWS, Kubernetes, and Terraform fluency - you can debug below the framework layer. 
  • Multi-tenant B2B data platforms with per-tenant cost attribution and isolation. 
  • Open-source contribution to the projects in this stack. 
What Success Looks Like

  • A stable, well-led SRE organization with clear ownership, career paths, and low regrettable attrition among your managers and their teams. 

  • Consistent, Datadog-driven observability and SLOs in place across the organization, with measurable reduction in Sev1/Sev2 incidents and mean time to detect/resolve. 

  • Modern, standardized infrastructure practices - GitOps delivery via Argo, IaC via Terraform/OpenTofu, and reliable CI/CD via Jenkins - adopted consistently across teams and clouds. 

  • A mature, blameless incident-management culture with strong postmortem follow-through. 

  • Strong cross-functional trust with engineering, product, and security/compliance stakeholders. 

PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career.  This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements.  Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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