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Manager Data Engineering Jobs in Austin, TX (NOW HIRING)

Habitat Energy

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... software engineering and renewable energy management. We have a vacancy for a Data Engineer to join our Austin based team. Your responsibilities will include: * Supporting Data Engineering ...

Habitat Energy

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

... software engineering and renewable energy management. We have a vacancy for a Data Engineer to join our Austin based team. Your responsibilities will include: * Supporting Data Engineering ...

Pwc

Data Engineer - Senior Manager

Austin, TX · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Dlapiper

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... data engineering practice) to deliver analytics-ready data. * Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Work cross-functionally with data engineering, product, and DevOps teams to define requirements and ... Experience with data observability, data catalog , or metadata management tools * Experience ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Work cross-functionally with data engineering, product, and DevOps teams to define requirements and ... Experience with data observability, data catalog , or metadata management tools * Experience ...

HEB

Manager, Data Governance (Austin)

Austin, TX · On-site

You will partner closely with Product, Engineering, Data Science, Analytics, Security, Compliance ... Serve as a trusted advisor for data management, privacy, security, and architecture initiatives.

HEB

Manager, Data Governance (Austin)

Austin, TX · On-site

$155K/yr

You will partner closely with Product, Engineering, Data Science, Analytics, Security, Compliance ... Serve as a trusted advisor for data management, privacy, security, and architecture initiatives.

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Work cross-functionally with data engineering, product, and DevOps teams to define requirements and ... Experience with data observability, data catalog , or metadata management tools * Experience ...

Applied Materials

Manager, Data Scientist

Austin, TX · On-site

$176K - $242K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

Amat

Manager, Data Scientist

Austin, TX · On-site +1

$176K - $242K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

K&L Gates

Fabric Power BI Developer

Austin, TX · On-site

Senior Manager, Data Engineering; Senior Manager, Enterprise Applications; Senior Applications Architect; Data Architect; Team Lead, Workflow and Automation; Technical Program Manager; Project ...

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Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Austin, TX

Manager Data Engineering information

See Austin, TX salary details

$30.7K

$96.3K

$170.5K

How much do manager data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager data engineering in Austin, TX is $96,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Austin, TX? The most popular types of Data Engineering jobs in Austin, TX are:
What are popular job titles related to Manager Data Engineering jobs in Austin, TX? For Manager Data Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Austin, TX look for? The top searched job categories for Manager Data Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Manager Data Engineering jobs? Cities near Austin, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you

Data Engineer

Habitat Energy

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 12 days ago

Job description

Data Engineer
Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 130+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.
We have a vacancy for a Data Engineer to join our Austin based team.
Your responsibilities will include:
  • Supporting Data Engineering Infrastructure:
    • Contribute to the design, development, implementation and continuous improvement of our data engineering tools, workflows, processes, and platforms. This includes enhancing the architectural foundations and integrating new data management technologies.
  • Writing Well-Structured Code:
    • Develop clean, maintainable, well-documented code that adheres to best practices. Support best coding practices within Habitat's software, machine-learning, and data science teams.
  • Enhance data engineering knowledge:
    • Improve expertise within the software team and ensure their ability to support and collaborate on the data infrastructure infrastructure.
  • Data Quality Management:
    • Continuously enhance data quality across multiple dimensions such as accuracy, availability, performance, and accessibility to ensure a clear understanding of data within the company.
  • Providing backup/escalation to the tech-on-call team.
  • Communicating effectively across Software and Data Science teams.

Requirements
Preferred skills and experience:
  • 3+ years of Python experience.
  • 3+ years of working in technical teams, building data pipelines, delivering productionised code, building/maintaining live applications, developing tooling and improving backtesting frameworks.
  • Experience in applying relational database design.
  • Proficiency with Orchestration and IaC in AWS (e.g. Terraform, Kubernetes, RabbitMQ, Airflow, Prefect), Git, containerisation (Docker), database management (e.g. Postgres, Alembic).
  • Fluent in Python and its wider numerical ecosystem (e.g. Pandas, NumPy, Polars, Pydantic).

'Nice to have' skills and experience:
  • 2+ years of orchestrating machine learning workflows.
  • Experience with OSS data warehousing tooling and management.
  • Cloud infrastructure experience.
  • Experience with monitoring frameworks (e.g. Prometheus).
  • Experience archiving data to Parquet on S3 and creating tools for API/Grafana queries.
  • Experience centralising diverse datasets for analytics, visualisation and machine learning.
  • Familiarity with time-series forecasting and/or optimisation.
  • Experience with data visualisation and dashboards (e.g. Grafana, Superset).
  • Familiarity with machine learning and associated techniques (feature engineering, boosting methods, LightGBM).

Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.
In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin.
When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information on our company website: https://habitat.energy/privacy-policy/.

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