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Remote Sql Data Engineer Jobs in Nebraska (NOW HIRING)

INFT Solutions Inc

Remote-Senior Data Engineer

Lincoln, NE · Remote

$92K - $125K/yr

Senior Data Engineer - 66129 Duration: 12+ Months Location: Remote / Lincoln, Nebraska Job Summary ... Proficient (4-6 Years) Yes Skills Others SQL and Linux * Strong SQL development and query ...

Varsity Tutors

SQL Tutor

Lincoln, NE · Remote

$18 - $40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

SQL Tutor

Omaha, NE · Remote

$18 - $40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Data and AI Architecture Leadership:Design, develop, and deploy AI and generative AI solutions ... git, SQL, CI/CD pipelines, automated testing, and DevOps best practices. * Experienced in AWS ...

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Languages: Python, SQL, C# * Frameworks: TensorFlow, PyTorch, ML.NET * Cloud Platforms: Azure

CSAA

... engineers and architects on hub configuration and solution design, integration patterns, SQL ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

... programming, along with the ability to translate complex findings into clear business ... Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ...

Mutual of Omaha

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on ... Proficient in Python and SQL, with hands-on experience in AWS Bedrock, SageMaker, and functional ...

Harris

A mix of technologies, including Delphi, Angular, Java, SQL, APIs, and cloud-ready architectures ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Kiewit Corporation

TG Software Engineer 1

Papillion, NE · On-site +1

Qualifications Advanced SQL and PL/SQL expertise, including performance tuning and query optimization. Strong Python skills for data engineering, automation, and analytics development. Experience ...

Harris

... data formats. * Experience with spatial databases (e.g., Oracle Spatial, PostGIS) and SQL ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Harris

... data formats. * Experience with spatial databases (e.g., Oracle Spatial, PostGIS) and SQL ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Mutual of Omaha

Data Scientist

Omaha, NE · Remote

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... Use SQL, Python to extract and profile data from structured and unstructured sources, ensuring high ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

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Remote Sql Data Engineer information

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

What is the difference between Remote Sql Data Engineer vs Remote Data Analyst?

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.
What are the most commonly searched types of Sql Data Engineer jobs in Nebraska? The most popular types of Sql Data Engineer jobs in Nebraska are:
What are popular job titles related to Remote Sql Data Engineer jobs in Nebraska? For Remote Sql Data Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Sql Data Engineer jobs in Nebraska look for? The top searched job categories for Remote Sql Data Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Remote Sql Data Engineer jobs? Cities in Nebraska with the most Remote Sql Data Engineer job openings:
Remote Sql Data Engineer jobs near you

Remote-Senior Data Engineer

INFT Solutions Inc

Lincoln, NE • Remote

$92K - $125K/yr

Contractor

Posted 6 days ago

Job description

Job Title: Senior Data Engineer - 66129

Duration: 12+ Months

Location: Remote / Lincoln, Nebraska 


Job Summary
The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion.

This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP).

Following the State's migration from an Apache open-source Hadoop environment to Cloudera Data Platform, this position will assume primary responsibility for maintaining the production code base, implementing business and regulatory changes, supporting production operations, resolving application defects, and performing routine operational administration of the data processing environment.

This position serves as the single primary technical owner of the application framework and is expected to maintain sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure the ongoing reliability, maintainability, and operational continuity of this mission-critical system.

Primary Ownership

· Own the Scala/Spark application framework supporting Medicaid Encounter Processing.

· Own the Drools business rule implementation and ongoing rule maintenance.

· Own enterprise data ingestion processes for master data and source system files.

· Own Spark and Hive batch processing workflows.

· Own production issue investigation and application defect resolution.

· Own production releases, version management, and deployment coordination.

· Own application performance tuning and optimization.

· Own technical documentation, operational procedures, and knowledge transfer.

· Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams.

Required Qualifications

· Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

· Strong hands-on development experience with Scala.

· Experience developing applications using Apache Spark 2.x and/or Spark 3.x.

· Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions.

· Experience with Apache Hive 3.x for data processing and Hive table management.

· Experience implementing business rules using the Drools Rules Engine.

· Strong SQL development and query optimization skills.

· Experience supporting Linux-based production environments.

· Experience troubleshooting distributed Spark applications in production.

· Experience using Git and modern version control practices.

Preferred Qualifications

· Medicaid or healthcare experience.

· Experience with Medicaid Encounter Processing.

· Experience with Cloudera Manager, HDFS, and YARN.

· Experience integrating with IBM DataStage.

· Familiarity with AWS infrastructure supporting Cloudera.

· Experience with Agile, Jira, and Confluence.

Qualifications

 

Type

 

Category

 

Qualification

 

Description

 

Competency

 

Required

   

Skills

 

Architecture

 

Cloudera Data

  

Advanced (7-9 Years)

 

Yes

  

Skills

 

Others

 

Distributed Data Processing

 

• Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

 

Advanced (7-9 Years)

 

Yes

  

Skills

 

Others

 

Drools

 

Experience implementing business rules using the Drools Rules Engine

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

Scala

 

• Strong hands-on development experience with Scala.

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

SQL and Linux

 

• Strong SQL development and query optimization skills • Experience supporting Linux-based production environments

  

Yes

  

Skills

 

Others

 

Apache experience

 

•Experience developing applications using Apache Spark 2.x and/or Spark 3.x. •Experience with Apache Hive 3.x for data processing and Hive table management.

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

Cloudera

 

• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions

  

No