Job Description
Qualifications
Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field 5+ years in a Data Engineering or Data Warehousing role
5+ years creating data pipelines using cloud based ETL tools, like AWS Glue
3+ years hands on experience with big data and streaming technologies (Snowflake, Redshift, Hive, Kafka, Spark, DBT or similar technologies)
Extensive experience working on relational NoSQL and SQL databases
Expertise in workflow orchestration and pipeline tools such as Airflow
Those with military experience are encouraged to apply
Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome
Redshift
NoSQL
SQL
Python
Scala
Nevada, United States
Data Engineer
English
Benefits
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location
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
Salary Range Transparency
Responsibilities
The Data Engineer’s role at Indeed is to integrate data from a variety of internal and external sources into common data mesh domain models, in order to support data and analytics activities across Indeed’s global business functions
This is a technical role that involves defining changes to the data lake data model, and building scalable and efficient processes to populate or modify data lake data
You will have hands-on data processing and data modeling experience in a “big data” environment, with experience in data modeling, test automation, and building reliable, trusted and efficient data pipelines
Designing and implementing reliable, efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed’s Data Warehouse
Designing and implementing data model changes that align with warehouse standards
Providing documentation, training, and consulting for data warehouse users
Job description
About
Your job
The Data Engineer’s role at Indeed is to integrate data from a variety of internal and external sources into common data mesh domain models, in order to support data and analytics activities across Indeed’s global business functions. This is a technical role that involves defining changes to the data lake data model, and building scalable and efficient processes to populate or modify data lake data. You will have hands-on data processing and data modeling experience in a “big data” environment, with experience in data modeling, test automation, and building reliable, trusted and efficient data pipelines. This work directly contributes to our mission of helping people get jobs, by providing insight into the global job market, and supporting product innovation that makes it easier for job seekers and employers to find each other.
Who you are
Designing and implementing reliable, efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed’s Data Warehouse
Designing and implementing data model changes that align with warehouse standards
Providing documentation, training, and consulting for data warehouse users
Who we are
Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field 5+ years in a Data Engineering or Data Warehousing role
5+ years creating data pipelines using cloud based ETL tools, like AWS Glue
3+ years hands on experience with big data and streaming technologies (Snowflake, Redshift, Hive, Kafka, Spark, DBT or similar technologies)
Extensive experience working on relational NoSQL and SQL databases
Expertise in workflow orchestration and pipeline tools such as Airflow
5+ years coding experience (Python or Scala preferred)
Req ID
2026XXXXXX
#INDDATA
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, September 2026)
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. 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.
Salary Range Transparency
Austin Metro Area 114,000 - 166,000 USD
US Remote 114,000 - 166,000 USD
NYC Metro Area 138,000 - 200,000 USD
Seattle Metro Area 134,000 - 1+4,000 USD
SF Bay Area 143,000 - 207,000 USD
EEO and Accommodations
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 Employment and Affirmative Action employer seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, ****** orientation, religious creed, national origin, genetics, neuro-diversity, disability, age, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To request an accommodation, an applicant should contact Talent Attraction Accommodations at 1-85XXXXXX, or by email at [email protected]. In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
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 a diverse and 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. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
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 found at https://www.indeed.com/legal , we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs .
Apply now (https://careers-indeed.icims.com/jobs/44372/data-engineer-ii---finance/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834XXXXXX+4)
ID
2026XXXXXX
Job Locations
US-Remote
Nice-to-have skills
• Redshift
• Hive
• Kafka
• Spark
• NoSQL
• SQL
• Python
• Scala
• Nevada, United States
Work experience
• Data Engineer
• Data Infrastructure
Languages
• English
Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field 5+ years in a Data Engineering or Data Warehousing role
5+ years creating data pipelines using cloud based ETL tools, like AWS Glue
3+ years hands on experience with big data and streaming technologies (Snowflake, Redshift, Hive, Kafka, Spark, DBT or similar technologies)
Extensive experience working on relational NoSQL and SQL databases
Expertise in workflow orchestration and pipeline tools such as Airflow
Those with military experience are encouraged to apply
Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome
Redshift
NoSQL
SQL
Python
Scala
Nevada, United States
Data Engineer
English
Benefits
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location
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
Salary Range Transparency
Responsibilities
The Data Engineer’s role at Indeed is to integrate data from a variety of internal and external sources into common data mesh domain models, in order to support data and analytics activities across Indeed’s global business functions
This is a technical role that involves defining changes to the data lake data model, and building scalable and efficient processes to populate or modify data lake data
You will have hands-on data processing and data modeling experience in a “big data” environment, with experience in data modeling, test automation, and building reliable, trusted and efficient data pipelines
Designing and implementing reliable, efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed’s Data Warehouse
Designing and implementing data model changes that align with warehouse standards
Providing documentation, training, and consulting for data warehouse users
Job description
About
Your job
The Data Engineer’s role at Indeed is to integrate data from a variety of internal and external sources into common data mesh domain models, in order to support data and analytics activities across Indeed’s global business functions. This is a technical role that involves defining changes to the data lake data model, and building scalable and efficient processes to populate or modify data lake data. You will have hands-on data processing and data modeling experience in a “big data” environment, with experience in data modeling, test automation, and building reliable, trusted and efficient data pipelines. This work directly contributes to our mission of helping people get jobs, by providing insight into the global job market, and supporting product innovation that makes it easier for job seekers and employers to find each other.
Who you are
Designing and implementing reliable, efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed’s Data Warehouse
Designing and implementing data model changes that align with warehouse standards
Providing documentation, training, and consulting for data warehouse users
Who we are
Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field 5+ years in a Data Engineering or Data Warehousing role
5+ years creating data pipelines using cloud based ETL tools, like AWS Glue
3+ years hands on experience with big data and streaming technologies (Snowflake, Redshift, Hive, Kafka, Spark, DBT or similar technologies)
Extensive experience working on relational NoSQL and SQL databases
Expertise in workflow orchestration and pipeline tools such as Airflow
5+ years coding experience (Python or Scala preferred)
Req ID
2026XXXXXX
#INDDATA
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, September 2026)
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. 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.
Salary Range Transparency
Austin Metro Area 114,000 - 166,000 USD
US Remote 114,000 - 166,000 USD
NYC Metro Area 138,000 - 200,000 USD
Seattle Metro Area 134,000 - 1+4,000 USD
SF Bay Area 143,000 - 207,000 USD
EEO and Accommodations
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 Employment and Affirmative Action employer seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, ****** orientation, religious creed, national origin, genetics, neuro-diversity, disability, age, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To request an accommodation, an applicant should contact Talent Attraction Accommodations at 1-85XXXXXX, or by email at [email protected]. In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
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 a diverse and 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. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
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 found at https://www.indeed.com/legal , we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs .
Apply now (https://careers-indeed.icims.com/jobs/44372/data-engineer-ii---finance/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834XXXXXX+4)
ID
2026XXXXXX
Job Locations
US-Remote
Nice-to-have skills
• Redshift
• Hive
• Kafka
• Spark
• NoSQL
• SQL
• Python
• Scala
• Nevada, United States
Work experience
• Data Engineer
• Data Infrastructure
Languages
• English
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer II - Finance position is now open for candidates interested in the Software Developer Jobs sector. This role in Sparks offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
