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

Guidehouse

Senior Data Engineer

San Antonio, TX · On-site

$80K - $133K/yr

Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies ... Ability to independently manage technical tasks and collaborate effectively across teams.

Lowe's

Facility Manager - Data Center

San Antonio, TX · On-site

... Engineering Trade license and/or trade school degree in Electrical, Plumbing, Mechanical HVAC, or Controls College degree in facility management, industrial engineering, mechanical engineering ...

Pwc

AI & GenAI Data Scientist - Manager

San Antonio, TX · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

Brite Consulting

Databricks Data Engineer

San Antonio, TX · On-site

$104K - $125K/yr

Brite Consulting is a management and technology consulting firm dedicated to delivering value-added ... Qualifications: * 5+ years of experience in data engineering, software development, analytics ...

Kemper

Senior Data Systems Analyst

San Antonio, TX

... Management * Investigate production data incidents and quality issues. * Perform root cause analysis and identify corrective and preventive actions. * Partner with engineering and operational teams ...

Syndicus, Inc.

Data Engineer

San Antonio, TX · On-site

$170K/yr

Software development/engineering, data engineering, database engineering, etc. (+4 additional years ... Experience with data flow, management, and storage solutions (i.e. Kafka, NiFi, and AWS S3 and SQS ...

Driveformpc

Senior Data Engineer

San Antonio, TX · On-site

$100 - $130/hr

... engineering standards, reusable patterns, and solution design reviews.This position belongs to a ... Data Quality Management** - Strong understanding of data quality dimensions, methodologies, and ...

Pwc

Data Governance- Manager

San Antonio, TX · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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Showing results 21-40

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

Manager Data Engineering information

See Seguin, TX salary details

$27.6K

$86.4K

$152.9K

How much do manager data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager data engineering in Seguin, TX is $86,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $111,600.00 per year, depending on experience, location, and employer.

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.

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.

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 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 cities near Seguin, TX are hiring for Manager Data Engineering jobs?

Cities near Seguin, TX with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Seguin, TX as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $86,357 per year, or $41.5 per hour.

Senior Data Engineer

Guidehouse

San Antonio, TX • On-site

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions.

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.

  • Build and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.

  • Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.

  • Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.

  • Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows.

  • Collaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.

  • Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts.

  • Ensure data quality, integrity, security, and governance standards are incorporated into solution designs.

  • Monitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.

  • Mentor junior data engineers and support technical knowledge sharing across project teams.

  • Contribute to technical architecture discussions, technology evaluations, and engineering best practices.

  • Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.

  • Role contingent upon contract award.


What You Will Need:

  • U.S. Citizenship or Green Card is required and must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.

  • THREE (3) or more years in data engineering, software engineering, analytics engineering, or a related discipline.

  • Experience in Python, SQL, and data processing frameworks such as Spark or PySpark.

  • Experience designing, developing, and supporting production-grade data pipelines and ETL/ELT processes.

  • Experience working with relational and non-relational databases, including data modeling and query optimization.

  • Experience with cloud platforms such as AWS and/or Azure.

  • Experience with Databricks, Snowflake, or similar large-scale data processing environments.

  • Experience implementing CI/CD pipelines and version control practices using tools such as Git, GitHub, GitLab, Jenkins, or Azure DevOps.

  • Experience implementing data quality, monitoring, and operational support processes.

  • Experience working within Agile software development environments.


What Would Be Nice To Have:

  • Experience supporting federal, healthcare, public health, or other highly regulated environments.

  • Familiarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes.

  • Experience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Ability to independently manage technical tasks and collaborate effectively across teams.

  • Excellent verbal and written communication skills.

  • Experience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub.

  • Familiarity with modern data lakehouse architectures and data governance frameworks.

  • Experience implementing Infrastructure-as-Code using Terraform, CloudFormation, or Bicep.

  • Experience with monitoring and observability tools such as CloudWatch, Splunk, Kibana, Datadog, or Elasticsearch.

  • Cloud, Databricks, Snowflake, or related technical certifications.

  • Experience supporting large-scale data modernization or migration programs.

  • Experience with machine learning data pipelines and AI-enabled solutions.

  • Previous consulting or client-facing experience.

The annual salary range for this position is $80,000.00-$133,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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