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Data Engineering Lead Jobs (NOW HIRING)

Data Engineering Lead- Finance

Dallas, TX

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US) Mode: Hybrid(3 day a week onsite) Employment type: Contract Role Summary We are seeking a highly skilled AWS Data ...

The IT Data Engineer Lead is responsible for guiding data engineering pipelines, data modelling, and analytics, while leading complex issues and implementing data acquisition strategies from SAP ERP ...

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Data Engineering Lead- Finance

Dallas, TX · On-site

$113K - $136K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Data Engineering Lead- Finance

Charlotte, NC · On-site

$111K - $134K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Sr. Data Engineering Lead, Onsite, VP

Boston, MA · On-site

$124K - $149K/yr

As a Data Engineer Lead, you will be responsible for developing, maintaining, and optimizing data pipelines and systems that support the acquisition, storage, transformation, and analysis of large ...

Data Engineering Lead- Finance

Richmond, VA · On-site

$112K - $134K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Data Engineering Lead- Finance

Richmond, VA · On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Data Engineering Lead- Finance

Austin, TX · On-site

$113K - $136K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Data Engineering Lead- Finance

Orlando, FL · On-site

$106K - $128K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Data Engineering Lead- Finance

Atlanta, GA

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Data Engineering Lead- Finance

Greenville, SC · On-site

$107K - $129K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Data Engineering Lead- Finance

Tampa, FL

$108K - $129K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

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Data Engineering Lead information

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$30

$70

$95

How much do data engineering lead jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for data engineering lead in the United States is $70.08, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $78.61 per hour, depending on experience, location, and employer.

What are Data Engineering Leads?

Data Engineering Leads are senior professionals responsible for overseeing data engineering teams and projects. They design, build, and maintain data infrastructure, ensuring data is accessible, reliable, and secure for analytics and business use. Typically, they coordinate with data scientists, analysts, and other stakeholders to define data requirements and implement best practices in data management. Their role also involves mentoring team members, choosing appropriate technologies, and ensuring the scalability and performance of data systems.

What is the difference between Data Engineering Lead vs Data Engineer?

AspectData Engineering LeadData Engineer
Required CredentialsBachelor's or Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, related certifications optional
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data pipelines, implements data solutions, collaborates with teams
Employer & Industry UsageUsed in organizations with data teams, analytics, and BI departmentsEntry to mid-level roles in data-focused companies

The Data Engineering Lead typically oversees data projects, manages teams, and coordinates with stakeholders, requiring leadership skills and experience. Data Engineers focus on building and maintaining data pipelines and infrastructure. While both roles require similar technical skills, the Lead role involves more strategic and managerial responsibilities.

What are the key skills and qualifications needed to thrive as a Data Engineering Lead, and why are they important?

To thrive as a Data Engineering Lead, you need strong expertise in data modeling, ETL pipeline development, and database architecture, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms such as AWS or Azure, as well as certifications in these systems, is highly valuable. Excellent leadership, problem-solving, and communication skills help in managing teams and collaborating with stakeholders. These competencies ensure efficient data infrastructure development, drive data-driven decision-making, and foster innovation within organizations.

What are some common challenges faced by a Data Engineering Lead when managing large-scale data infrastructure projects?

A Data Engineering Lead often encounters challenges such as balancing short-term business needs with long-term architectural goals, ensuring data quality across multiple sources, and managing the complexity of integrating new technologies with existing systems. They also need to coordinate effectively with cross-functional teams, including Data Scientists, Analysts, and DevOps, to align on project priorities and timelines. Additionally, leading and mentoring a team of engineers requires strong communication and organizational skills to foster collaboration and continuous improvement.
More about Data Engineering Lead jobs
What cities are hiring for Data Engineering Lead jobs? Cities with the most Data Engineering Lead job openings:
What states have the most Data Engineering Lead jobs? States with the most job openings for Data Engineering Lead jobs include:
What job categories do people searching Data Engineering Lead jobs look for? The top searched job categories for Data Engineering Lead jobs are:
Infographic showing various Data Engineering Lead job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,772 per year, or $70.1 per hour.
AI/ML & Data Engineering Lead

AI/ML & Data Engineering Lead

Quorum Software

Houston, TX • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

AI/ML & Data Engineering Lead

Location: Houston, Texas or Dallas, Texas or Calgary, Alberta, Canada or US Remote

Model of Work: Hybrid if located in Houston, TX or Dallas, Texas or Calgary, Alberta, Canada or Remote with Travel if the work location is US – Remote

Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic environment? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation.

Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.

Overview

We’re building shared AI infrastructure at Quorum — the kind that makes every product smarter, not just one. This role leads the data platform pillar of that effort: the foundation that powers AI and ML capabilities across our 30+ product portfolio. Quorum customers use multiple products, and the value of those products together should be greater than the sum of their parts. A rising tide raises all ships — this role is the tide.

You’ll work at the intersection of technical architecture and organizational influence. You’ll take high-level, sometimes fuzzy strategic inputs and turn them into executable plans — then execute. You’ll earn buy-in from product teams that are understandably focused on their own backlogs, making the value of shared infrastructure obvious and worth their time. This role is part of the CTO office and represents AI data strategy across the organization.

Responsibilities

Platform Architecture & Delivery

  • Design and own the data platform for AI/ML: curated datasets, feature and embedding pipelines, data quality, lineage, governance, and access controls.
  • Establish shared patterns and reusable components that enable AI capabilities to be built consistently across products.
  • Build working prototypes that demonstrate value, then harden them into repeatable platform capabilities.
  • Ensure production readiness: deployment, SLAs, observability, cost and latency controls.

Cross-Team Influence & Adoption

  • Partner with product and engineering leaders to surface AI opportunities and translate shared infrastructure into something teams actually want to engage with.
  • Overcome organizational apathy — make the value of the shared data platform concrete and compelling to teams focused on their own roadmaps.
  • Coordinate globally to capture AI and data requirements, prioritize a roadmap, and get shared capabilities into product backlogs.

Autonomous Execution & Communication

  • Take fuzzy direction and shape it into a plan — then execute. Clarify what you need, make reasonable assumptions, and move.
  • Identify and set priorities that cut across diverse product lines — balancing shared platform needs against competing team roadmaps.
  • Communicate progress clearly and consistently across the organization, both direct and indirect stakeholders.
  • Present to C-suite leaders: translate technical tradeoffs into business language and align AI initiatives to measurable outcomes.

Technical Leadership

  • Guide teams on AI solution selection: when to use ML vs. LLMs vs. simpler approaches.
  • Lead ML/LLM integration patterns: RAG, vector search, prompt management, model routing, and safety strategies.
  • Improve ML literacy across engineering teams and enable consistent practices globally.
  • Stay hands-on with cloud and tooling to validate designs and keep decisions grounded in implementation reality.

And other duties as assigned.

Requirements

  • 5+ years in data engineering, ML engineering, or hybrid AI/data roles with meaningful production experience.
  • Proven ability to operate autonomously under ambiguous direction — you take a strategic goal and figure out what needs to happen without being told.
  • Track record of building cross-team buy-in for shared infrastructure, especially with skeptical or indifferent stakeholders.
  • Excellent communication skills: confident presenting to executives, clear with non-technical audiences.
  • Strong background in both ML model development and data pipeline engineering.
  • Hands-on with at least one cloud platform (Azure preferred) and ML frameworks (Python, TensorFlow, PyTorch, scikit-learn).
  • Fluency with AI developer tools — Claude Code, GitHub Copilot, and similar are part of how you work, not a novelty

Preferred Skills

  • Databricks experience: Unity Catalog, ML pipelines, or data platform architecture.
  • Experience establishing AI/ML practices from scratch in a multi-product organization.
  • Familiarity with LLM fine-tuning, RAG architectures, and vector databases.
  • Experience with time series forecasting, anomaly detection, or predictive analytics in industrial or operational domains.
  • Familiarity with agentic AI frameworks and orchestration patterns.
  • Familiarity with Quorum Software applications and solutions.

Additional Details

  • Salary commensurate with experience ($132,700 - $176,900 US Dollars) with bi-weekly pay via direct deposit. Posted salary ranges are made in good faith. Quorum Software reserves the right to adjust ranges depending on the qualifications, experience, training, work history, and geographic location of the selected candidate.
  • Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver’s License Verification and passport/ID validation.
  • Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States or Canada (wherever the successful candidate is currently located) is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.

About Quorum Software
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.

Quorum Diversity Statement: At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.

Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.

Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department

Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.

Recruitment Scam Alert: Quorum Software does not charge fees, request payments, conduct interviews via messaging apps, or request the installation of software at any stage of the recruitment process. All legitimate recruitment activities are conducted exclusively through our official careers website (www.quorumsoftware.com/careers) and email addresses ending in @quorumsoftware.com. Any communication that does not originate from these official channels should be considered unauthorized and may be reported to careers@quorumsoftware.com