Remote Data Integration Engineer Jobs
Remote Data Integration Engineer jobs are in steady demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for pipeline, ETL, and data platform work in sectors like software, healthcare, and financial services. Employers hiring remotely right now include Wittij Consulting, Thorne, and Alithya. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 17+ Remote Data Integration Engineer jobs
INTRODUCTION
Lead Data Integration Engineer positions offered by Kimberly-Clark USA, LLC (Irving, Texas). Work with Technical Architects, Product Owners and Business teams to translate requirements into technical design for data modelling and data integration. Utilize background in data warehousing, data modelling and ETL/ELT data processing patterns. Design and develop ETL/ELT pipelines with reusable patterns and frameworks. Design and build efficient SQLs to process and curate the data sets in HANA, Azure and Snowflake. Design and review data ingestion frameworks leveraging Python, Spark, Azure Data Factory, Snowpipe, etc. Design and build Data Quality models and ABCR frameworks to ingest, validate, curate and prepare the data for consumption. Review functional domain and business needs and identify the gaps in the requirements proactively prior to implementing solutions. Work with platform teams to design and build processes for automation in pipeline build, testing and code migrations.
MINIMUM REQUIREMENTS
Requires a bachelor’s or foreign equivalent degree in computer science, applied computer science, IT or a related field and 10 years of experience in the job offered or 10 years of experience designing, developing, and building ETL/ELT pipelines, procedures, and SQLs on MPP platforms including HANA, Snowflake, Greenplum, or Teradata. Also requires 5 years of experience:
- designing and building metadata driven data ingestion frameworks
- building SAP BO/Data Services, Azure Data Factory, SnowSQL, and Snowpipe
- building mini-batch, real-time and event-driven data processing jobs
- designing and developing object stores (including Azure ADLS, HDFS, and GCP Cloud Storage)
- Row and Columnar databases (including Azure SQL DW, SQL Server, Snowflake, Teradata, PostgresSQL, and Oracle)
- NoSQL databases (including CosmosDB, MongoDB, and Cassandra), ElasticSearch, Redis, and Data processing platforms Spark, Databricks, and SnowSQL
- leveraging Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS, Watson Analytics, and SPSS for Data Analytics development and solution architecture
Employee reports to office in Irving, TX, but may telecommute from anywhere in the U.S. Experience may be, but need not be, acquired concurrently.
COMPENSATION
- Salary Range: $187,600 - $187,600 USD
At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.
PRIMARY LOCATION
USA-REMOTE-TX
WORKER TYPE
Employee
WORKER SUB-TYPE
Regular
JOB TYPE
Full time
INTRODUCTION
Lead Data Integration Engineer positions offered by Kimberly-Clark USA, LLC (Irving, Texas). Work with Technical Architects, Product Owners and Business teams to translate requirements into technical design for data modelling and data integration. Utilize background in data warehousing, data modelling and ETL/ELT data processing patterns. Design and develop ETL/ELT pipelines with reusable patterns and frameworks. Design and build efficient SQLs to process and curate the data sets in HANA, Azure and Snowflake. Design and review data ingestion frameworks leveraging Python, Spark, Azure Data Factory, Snowpipe, etc. Design and build Data Quality models and ABCR frameworks to ingest, validate, curate and prepare the data for consumption. Review functional domain and business needs and identify the gaps in the requirements proactively prior to implementing solutions. Work with platform teams to design and build processes for automation in pipeline build, testing and code migrations.
MINIMUM REQUIREMENTS
Requires a bachelor’s or foreign equivalent degree in computer science, applied computer science, IT or a related field and 10 years of experience in the job offered or 10 years of experience designing, developing, and building ETL/ELT pipelines, procedures, and SQLs on MPP platforms including HANA, Snowflake, Greenplum, or Teradata. Also requires 5 years of experience:
- designing and building metadata driven data ingestion frameworks
- building SAP BO/Data Services, Azure Data Factory, SnowSQL, and Snowpipe
- building mini-batch, real-time and event-driven data processing jobs
- designing and developing object stores (including Azure ADLS, HDFS, and GCP Cloud Storage)
- Row and Columnar databases (including Azure SQL DW, SQL Server, Snowflake, Teradata, PostgresSQL, and Oracle)
- NoSQL databases (including CosmosDB, MongoDB, and Cassandra), ElasticSearch, Redis, and Data processing platforms Spark, Databricks, and SnowSQL
- leveraging Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS, Watson Analytics, and SPSS for Data Analytics development and solution architecture
Employee reports to office in Irving, TX, but may telecommute from anywhere in the U.S. Experience may be, but need not be, acquired concurrently.
COMPENSATION
- Salary Range: $187,600 - $187,600 USD
At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.
PRIMARY LOCATION
USA-REMOTE-TX
WORKER TYPE
Employee
WORKER SUB-TYPE
Regular
JOB TYPE
Full time
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Find JobsRemote Data Integration Engineer Job Market
Who's Hiring
- Wittij Consulting3
- Thorne1T
- Alithya1
- Apex IT1
- BOELTER1
Top Industries Hiring
- Education2
- Technology & Software2
- Consumer Goods1
- Food & Beverage1
- Healthcare & Medical Services1
What Employers Look For
The qualifications that appear most often in remote data integration engineer jobs.
- Proficiency in SQL and at least one ETL or ELT tool such as Informatica, Talend, or dbt
- Experience designing and maintaining data pipelines on AWS, Azure, or Google Cloud Platform
- Strong programming skills in Python, Java, or Scala for pipeline scripting and automation
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or Luigi
- Experience integrating REST or SOAP APIs and working with JSON or XML data formats
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Remote Data Integration Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data integration engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through non-remote listings mixed into broader job feeds.
Build a public portfolio of pipeline work
Remote employers can't watch you work, so they rely on evidence. Publish ETL workflows, data modeling projects, or API integration scripts to GitHub with clear README documentation explaining your design decisions and the problem each project solved.
Signal async communication skills in your application
Remote data integration teams run on written communication. Use your cover letter and any take-home exercises to show you can write precise technical specs, document data flows clearly, and raise blockers in a way that moves work forward without a meeting.
Target remote-first companies over hybrid postings
Remote-first companies have built their engineering workflows around distributed teams, which means clearer async processes, better tooling, and less pressure to eventually relocate. Look for companies whose entire engineering org is distributed, not just teams with one remote seat open.
Prepare for asynchronous technical interviews
Many remote data integration roles include a take-home pipeline design or a recorded technical screen. Practice explaining your architecture decisions in writing or short video walkthroughs using tools like Loom, since remote interviewers often review submissions before a live call.
Remote Data Integration Engineer Jobs: Frequently Asked Questions
How do I get a remote data integration engineer job?
Remote data integration engineer roles go to candidates who can demonstrate self-direction and clear async communication alongside strong technical skills. Remote employers screen for hands-on experience with ETL tools, cloud data platforms, and SQL, plus the ability to troubleshoot pipelines independently without an in-office team nearby. Documenting your integration projects publicly, writing clean technical specs, and showing you can communicate across time zones gives you a real edge over candidates with similar technical skills but no remote work history.
Which companies hire remote data integration engineers?
Employers currently hiring remote data integration engineers include Wittij Consulting, Thorne, and Alithya, per current remote listings on Migrate Mate as of June 2026. Remote-first software companies, distributed data platform teams, and organizations in healthcare and financial services are among the most consistent hirers of this role outside a physical office.
Can you get a remote data integration engineer job with no experience?
Yes, but remote entry-level data integration roles are harder to land because employers expect you to debug pipeline failures and manage your own workflow without daily supervision. Remote-first startups and mid-size SaaS companies are the most open to junior candidates. A GitHub portfolio showing real ETL builds, data modeling work, or open-source contributions can substitute for formal experience and open doors that a resume alone won't.
Do you need a degree for remote data integration engineer jobs?
Not always. Many remote employers care more about what you can build and ship than whether you hold a formal degree. Demonstrated proficiency in tools like Spark, dbt, Airflow, or cloud data warehouses, combined with a portfolio of completed integration projects, carries significant weight. A degree in computer science or a related field helps, but candidates who can show results from real projects regularly compete on equal footing.
Which industries hire the most remote data integration engineers?
Most remote data integration engineer openings sit in Education, Technology & Software, and Consumer Goods, per current remote listings on Migrate Mate as of June 2026. These sectors rely on distributed engineering teams that need to move data between cloud systems, third-party APIs, and internal platforms regardless of where the engineers are located.
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