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

Manager, Data Engineering

Dallas, TX

$113.30K - $136K/yr

Apex Fintech Solutions is seeking a Manager, Data Engineering to lead our Data Lake team. This team owns the foundational data infrastructure that powers analytics, reporting, and real-time data ...

Manager - Data Engineering

Irving, TX · On-site

$109.90K - $132K/yr

Work with data engineering related groups to inform on and showcase capabilities of emerging ... Strong working knowledge of disaster recovery, incident management, and security best practices

Senior Manager, Data Engineering

Frisco, TX · On-site

$99.90K - $135.70K/yr

They are seeking a Senior Manager, Data Engineering to lead their IRM Analytics team, overseeing data models, pipelines, and infrastructure for risk and AI applications while managing a team of data ...

Data Engineering Manager

Dallas, TX · On-site

$113.30K - $136K/yr

Qualifications * 6+ years of experience in data engineering and delivery leadership. * Proven track record managing delivery of Snowflake-based data platforms (pipelines, ETL, semantic layers). Hands ...

Data Engineering Lead- Finance

Dallas, TX

$113.30K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and ...

Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver ...

This role involves setting the technical vision, managing high-performing teams, and aligning data ... Establish data engineering standards, best practices, and governance frameworks across the ...

This role involves setting the technical vision, managing high-performing teams, and aligning data ... Establish data engineering standards, best practices, and governance frameworks across the ...

This role involves setting the technical vision, managing high-performing teams, and aligning data ... Establish data engineering standards, best practices, and governance frameworks across the ...

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it ... You are agile and able to adapt to changing demands and manage multiple priorities in a fast-paced ...

Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver ...

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Showing results 1-20

Manager Data Engineering information

See Prosper, TX salary details

$28.4K

$89K

$157.5K

How much do manager data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data engineering in Prosper, TX is $88,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $114,900.00 per year, depending on experience, location, and employer.

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

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.

How does a Manager of 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 Manager Data Engineering roles and responsibilities?

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.

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 most commonly searched types of Data Engineering jobs in Prosper, TX? The most popular types of Data Engineering jobs in Prosper, TX are:
What are popular job titles related to Manager Data Engineering jobs in Prosper, TX? For Manager Data Engineering jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Prosper, TX look for? The top searched job categories for Manager Data Engineering jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Manager Data Engineering jobs? Cities near Prosper, TX with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Prosper, TX as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $88,964 per year, or $42.8 per hour.
Manager, Data Engineering

$113.30K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

WHO WE ARE

Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth management by building tech-forward solutions that help simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech software enables us to support clients such as Stash, Betterment, SoFi, Webull, and eToro, amongst many others; collectively, Apex powers access to the stock market for over 22+ million end customers.

At Apex, we are changing how the securities industry operates by reinventing the status quo, which was manual, slow, and accessible only by the ultra-wealthy. We're digitizing and democratizing systems so that everyone has an opportunity to invest.

When you're at Apex, you drive this change. You're part of a global team with a clear vision: to be the trusted technology that powers the digital economy. Our offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila are home to over 1,000 employees.

Together, we're shaping the future of financial innovation. Embrace change. Solve big. Win together. And be G.R.E.A.T. - grit, results, empathy, accountability, and teamwork - with Apex.

We're proud to be recognized for the innovative work we do, the purpose-driven nature of our work, and the collaborative culture we've created. Here are just a few of the many awards we've recently received:

Best Places to Work

2026, 2025, 2024, 2023- Presented by BuiltIn

WealthTech of the Year

2025- Presented by US FinTech Awards

The World's Top 250 Fintech Companies

2024- Presented by CNBC

ABOUT THIS ROLE

Job Summary:

Apex Fintech Solutions is seeking a Manager, Data Engineering to lead our Data Lake team. This team owns the foundational data infrastructure that powers analytics, reporting, and real-time data processing across our platform, supporting all trading and operational data for Apex Fintech Solutions. You will play a pivotal role in leading this team while collaborating with cross-functional engineering teams and stakeholders to deliver cutting-edge data solutions that shape the future of our industry. This is not just a people management role; it's an opportunity to lead with vision, technical expertise, and strategic thinking in a fast-paced fintech environment. You will be at the forefront of our data platform initiatives, ensuring that our solutions not only meet but exceed our stakeholders' expectations for scalability, reliability, and performance.
In this role, you will have the unique opportunity to wear multiple hats from strategic planning and architecture design to hands-on execution of data engineering initiatives, working with highly talented engineers and empowering your team to make a significant impact on our delivery outcomes and company growth. Your leadership will inspire collaboration, drive innovation, and create a teaching and learning culture of excellence that resonates throughout the organization. We're looking for someone who isn't afraid to say "I don't know" when faced with complex challenges, but who leans into those challenges with a problem-solver mindset to find solutions that have never been done before.

Duties/Responsibilities:

  • Lead and manage the Data Lake engineering team, driving technical initiatives from conception to production while ensuring alignment with business objectives, platform scalability requirements, and delivery timelines

  • Partner with cross-functional stakeholders including product managers, data scientists, and business leaders to define scope, objectives, and technical deliverables throughout the data platform lifecycle

  • Build and mentor a high-performing team of data engineers, fostering a teaching and learning culture where continuous improvement, technical excellence, and ownership are core values

  • Facilitate Agile ceremonies including sprint planning, retrospectives, and PI Planning, promoting iterative development and team collaboration while maintaining focus on delivering measurable outcomes

  • Own the technical strategy and architecture for our data lake infrastructure, making hands-on contributions to design scalable solutions for data ingestion, storage, and real-time processing that support our business growth

  • Identify and proactively mitigate technical and operational risks, addressing issues before they impact delivery while maintaining transparency with stakeholders through clear communication and regular reporting

  • Coordinate resource allocation and work prioritization across multiple initiatives, balancing team capacity with competing demands to ensure optimal delivery of platform capabilities

  • Establish and enforce data engineering best practices, governance standards, and security protocols, ensuring we do things the right way without cutting corners on quality or compliance

Required Skills/Abilities:

  • Deep technical proficiency in cloud-based systems (GCP preferred), including BigQuery, Snowflake, Cloud Storage, and experience building scalable data lake architectures and microservices

  • Strong understanding of fault-tolerant system design, high-availability services, and real-time data ingestion patterns to support high-throughput processing requirements

  • Solid grasp of DevOps principles with hands-on experience in CI/CD pipelines, deployment automation, and infrastructure as code for data platform operations

  • Understanding of security best practices for data systems, API design, and infrastructure within regulated environments, with knowledge of compliance requirements in financial services highly desired

  • Exceptional problem-solving and analytical skills with ability to navigate technical complexities, manage multiple initiatives simultaneously, and maintain attention to detail

  • Excellent verbal and written communication skills with ability to translate technical concepts for diverse audiences and build strong collaborative relationships across global teams

Education and/or Experience:

  • Bachelor's degree in computer science, Data Engineering, or related field; Master's degree in business administration or computer science is a plus

  • 6+ years of hands-on data engineering experience with 2+ years as a people manager, preferably in Financial Services (FinTech) or high-growth technology environments

  • Proven expertise in Agile Development methodologies (Scrum, Kanban) and project management tools (Jira, Confluence) with track record of delivering complex technical projects on time

Work Environment:

  • This job operates in a hybrid, office environment 3 days per week

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Rewards

We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices.

EEO Statement

Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.

Disability Statement

Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.