Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Comscore, Total Visits, March 2025)

Day to Day

Integrate data from a variety of internal and external sources in order to support data and analytics activities across Indeed’s global business functions, providing insight into the global job market and supporting product innovation. Lead or participate in the design and implementation of data pipelines, data models, data transformations, and tooling for a cloud-based, distributed data processing and data management system. Develop code-based data pipelines capable of handling millions of events per day. Analyze and resolve system performance issues through query tuning, data model revision, or other methods. Design and implement automated testing to enforce data quality standards. Lead or contribute to continuous improvement in development standards and processes. Collaborate with engineering and product leadership, partner teams, vendors, and others to define project scope, evaluate technologies, or otherwise provide technical direction.

Position is in Austin, Texas. Up to 100% telecommuting from anywhere in the U.S. is permitted.

Responsibilities

Primary Minimum Requirements:

• Bachelor’s or foreign equivalent degree in Math, Statistics, Computer Science, or equivalent technical field;
• Five years of professional work experience in Data Engineering, Data Warehousing, or similar role;
• Five years of experience in coding, using at least one of the following programming languages: Python, Java, or similar;
• Three years of experience using big data technologies, such as Snowflake, Hive, Redshift, Kafka, or similar;
• Expert-level understanding of data pipeline fundamentals and performance tuning; and
• Expert-level understanding of data modeling fundamentals for analytical solutions.

Experience may be gained concurrently.

Alternate Minimum Requirements:

• Master’s or foreign equivalent degree in Math, Statistics, Computer Science, or equivalent technical field;
• Four years of work experience in Data Engineering, Data Warehousing, or similar role;
• Four years of experience in coding, using at least one of the following programming languages: Python, Java, or similar;
• Three years of experience using big data technologies, such as Snowflake, Hive, Redshift, Kafka, or similar;
• Expert-level understanding of data pipeline fundamentals and performance tuning; and
• Expert-level understanding of data modeling fundamentals for analytical solutions.

Experience may be gained concurrently.

Any suitable combination of education, training, or experience is acceptable.

Multiple positions available.

Salary Range Transparency

Salary Range: $130,250 to $166,000 per year

Salary Range Disclaimer

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site, and recruiters can confirm how location is considered for a specific role.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year, and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks.

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page.

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply.

Indeed’s Employee Recruiting Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy, we also want to make you aware of our recruitment specific privacy policy.

Agency Disclaimer

Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.

AI Notice

Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws.

Reference ID: 47308

The deadline to apply to this position is July 30th, 2026.

IND123

Reference ID: 47308

Application Question(s):

• Do you now, or will you in the future, require sponsorship to work in the United States?
• Do you have a Bachelor’s or foreign equivalent degree in Math, Statistics, Computer Science, or equivalent technical field AND five (5) years of professional work experience in Data Engineering, Data Warehousing, or similar role AND five (5) years of experience in coding, using at least one of the following programming languages: Python, Java, or similar?

If yes, please specify: Degree field, experience in Data Engineering or Data Warehousing, programming language(s), total years of experience.

Example: Yes. Bachelor of Science in Computer Science, Georgia Institute of Technology. 5 years of professional work experience in Data Engineering and 6 years of professional software development experience using Java and Python.

• Do you have a Master’s or foreign equivalent degree in Math, Statistics, Computer Science, or equivalent technical field AND four (4) years of work experience in Data Engineering, Data Warehousing, or similar role AND four (4) years of experience in coding, using at least one of the following programming languages: Python, Java, or similar?

If yes, please specify: Degree field, experience in Data Engineering or Data Warehousing, programming language(s), total years of experience.

Example: Yes. Master of Science in Computer Engineering, University of Illinois. 5 years of professional work experience in Data Warehousing, and 7 years of professional software development experience using Java and Python.

• Do you have three (3) years of experience using big data technologies, such as Snowflake, Hive, Redshift, Kafka, or similar?
• Do you have an expert-level understanding of data pipeline fundamentals and performance tuning?
• Do you have an expert-level understanding of data modeling fundamentals for analytical solutions?

Work Location: In person