Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Headquarters - Katy, TX
Live, first seen by us 55 days agoFlexible work schedule may be required to support business needs Regular in-office attendance is required Acceptable level of hearing and vision to perform job dutiesRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and maintain platform services, ingestion frameworks, and orchestration workflows
Modernize the platform through automation, CI/CD, and infrastructure-as-code
Advance monitoring, observability, alerting, lineage, and metadata capabilities
Establish engineering standards and reusable frameworks
Provide technical leadership and mentorship to engineers
you design and maintain platform services, ingestion frameworks, orchestration workflows, and ELT/ETL integration patterns
You lead modernization through automation, CI/CD, infrastructure-as-code, and deployment optimization
advancing monitoring, observability, alerting, lineage, metadata, and operational support
You also establish engineering standards and reusable frameworks
provide technical leadership, mentorship, guidance, and knowledge sharing across development and operational initiatives
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or related field required
Strong knowledge of enterprise data platform architecture, cloud-native engineering, and data integration patterns
Ability to adhere to company policies and professional standards
7+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or related disciplines
Experience designing and supporting ELT/ETL frameworks, ingestion services, and enterprise data pipelines
Experience designing, implementing, and supporting large-scale enterprise data platforms and integration solutions
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country — but what truly sets us apart is our people.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 55
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,035 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience designing and supporting ELT/ETL frameworks, ingestion services, and enterprise data pipelines - Strong proficiency with SQL, Python, BigQuery scripting, or similar technologies - Experience with Google BigQuery, DBT Core, OpenMetadata, Cube Cloud, Composer, Datastage, Confluent Kafka, GoAnywhere, or similar technologies
- Strong proficiency with SQL, Python, BigQuery scripting, or similar technologies - Experience with Google BigQuery, DBT Core, OpenMetadata, Cube Cloud, Composer, Datastage, Confluent Kafka, GoAnywhere, or similar technologies - Experience implementing CI/CD pipelines, infrastructure automation, monitoring, and observability solutions
- Experience designing, implementing, and supporting large-scale enterprise data platforms and integration solutions - Experience with cloud platforms, including Google Cloud Platform (GCP) - Experience developing and supporting data orchestration, streaming technologies, CI/CD pipelines, infrastructure automation, and observability solutions
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country — but what truly sets us apart is our people. We’re a passionate, purpose-driven team that’s as committed to each other as we are to our customers.
We’ve spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member’s journey. What fuels us? Our belief in the power of fun.
Here, you won’t just help customers gear up for their next adventure — you’ll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can’t lose!
In this role, you shape the enterprise data platform that teams rely on for secure, scalable, and dependable data integration. Your work strengthens the infrastructure and platform capabilities that move data across the organization, helping Data Products, Analytics Engineering, and business stakeholders access trusted and governed solutions. By improving reliability, performance, security, and operational efficiency, you create a stronger foundation for enterprise data consumption.
Working across cloud-based data ecosystems, you design and maintain platform services, ingestion frameworks, orchestration workflows, and ELT/ETL integration patterns. You lead modernization through automation, CI/CD, infrastructure-as-code, and deployment optimization while advancing monitoring, observability, alerting, lineage, metadata, and operational support. You also establish engineering standards and reusable frameworks, guide technical initiatives, evaluate emerging technologies, and help the team improve platform capabilities and engineering effectiveness.
You will collaborate with Data Products, Analytics Engineering, and business stakeholders to deliver data solutions that are trusted, governed, and accessible. These partnerships connect platform engineering decisions with the teams and business needs that depend on reliable enterprise data.
Within the Data Platform Engineering team, you will provide technical leadership, mentorship, guidance, and knowledge sharing across development and operational initiatives. You will also influence cross-functional teams by communicating technical concepts clearly to both technical and non-technical stakeholders.
Bring your energy, your ideas, and your love for sports and the outdoors.
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or related field required
7+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or related disciplines
Experience designing, implementing, and supporting large-scale enterprise data platforms and integration solutions
Experience with cloud platforms, including Google Cloud Platform (GCP)
Experience developing and supporting data orchestration, streaming technologies, CI/CD pipelines, infrastructure automation, and observability solutions
Experience implementing security, governance, metadata management, lineage, and data quality frameworks
Retail or related industry experience preferred
Strong knowledge of enterprise data platform architecture, cloud-native engineering, and data integration patterns
Experience designing and supporting ELT/ETL frameworks, ingestion services, and enterprise data pipelines
Strong proficiency with SQL, Python, BigQuery scripting, or similar technologies
Experience with Google BigQuery, DBT Core, OpenMetadata, Cube Cloud, Composer, Datastage, Confluent Kafka, GoAnywhere, or similar technologies
Experience implementing CI/CD pipelines, infrastructure automation, monitoring, and observability solutions
Strong understanding of security, privacy, governance, disaster recovery, and operational resilience principles
Strong troubleshooting, analytical, and problem-solving skills in distributed and cloud-native environments
Ability to develop reusable frameworks, engineering standards, and best practices
Strong verbal, written, and interpersonal communication skills
Ability to influence cross-functional teams and communicate technical concepts to both technical and non-technical stakeholders
Ability to mentor engineers and provide technical leadership across development and operational initiatives
A team-first attitude; while your core duties are your priority, you're happy to step in wherever you're needed
Flexible work schedule may be required to support business needs
Regular in-office attendance is required
Acceptable level of hearing and vision to perform job duties
Ability to adhere to company policies and professional standards
Automated Processes, Deployments, Best Practices, Collaboration and Teamwork, Security, Mentorship, Technology Solutions
Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.
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Headquarters - Katy, TX
Working pattern and location restrictions need checking in the full posting.
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