Remote Data Integration Specialist Jobs
Remote Data Integration Specialist jobs are available nationwide at employers like Wittij Consulting, Thorne, and Alithya and other distributed teams, at every experience level. See the openings below and apply to the ones that match your experience.
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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 Specialist 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 specialist jobs.
- Hands-on experience with ETL tools such as Informatica, Talend, SSIS, or Apache NiFi
- Proficiency in SQL and ability to write complex queries for data transformation and validation
- Experience integrating data across cloud platforms including AWS, Azure, or Google Cloud
- Familiarity with API-based integrations using REST or SOAP protocols
- Bachelor's degree in computer science, information systems, or a related technical field
- Knowledge of data warehousing concepts and platforms such as Snowflake, Redshift, or BigQuery
Tips for Your Remote Data Integration Specialist Job Search
Tailor your resume to pipeline tools
List the specific ETL and data pipeline tools you have used, such as Informatica, Talend, or Apache NiFi, and note the data volumes you worked with. Hiring managers scan for tool names before reading anything else on a data integration specialist resume.
Document your data transformation decisions
Employers want to see that you made architectural choices, not just executed them. For each project on your resume, name the source and target systems, the transformation logic you designed, and what problem it solved for the business.
Filter openings by your core stack
Data integration roles split sharply between cloud-native stacks like AWS Glue or Azure Data Factory and on-premise tools like SSIS or MuleSoft. Search by the platform you know best so you spend your time on openings where you are already a strong fit.
Apply early to roles that fit
Migrate Mate lists data integration specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a live data flow walkthrough
Many interviews include a whiteboard or screen-share exercise where you design an integration flow on the spot. Practice narrating a realistic scenario, such as syncing a CRM to a data warehouse, covering error handling, scheduling, and monitoring out loud.
Negotiate using system complexity, not just title
When discussing compensation, anchor your case on the number of source systems you have connected, the latency requirements you have met, and the team size you have supported. Concrete scope gives you more leverage than seniority level alone.
Remote Data Integration Specialist Jobs: Frequently Asked Questions
How do I get a remote data integration specialist job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote data integration specialist employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote data integration specialists?
Companies hiring remote data integration specialists include Wittij Consulting, Thorne, and Alithya, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote data integration specialist roles.
Can you get a remote data integration specialist job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote data integration specialist openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote data integration specialist jobs?
Not always. Many employers hire remote data integration specialists on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote data integration specialist roles.
Which industries hire the most remote data integration specialists?
Most remote data integration specialist openings sit in Education, Technology & Software, and Consumer Goods, per current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire data integration specialists remotely most consistently.
See All 17 Remote Data Integration Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
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