1

Overnight Databricks Data Engineer Jobs in Kansas

Data Engineer

Lenexa, KS · On-site

$106.50K - $127.90K/yr

Build, implement and test data pipelines using Databricks, Azure Data Factory, SSIS and other data integration tools. Support other software developer team members with troubleshooting and resolving ...

Data Engineer

Lenexa, KS

$106.50K - $127.90K/yr

Build, implement and test data pipelines using Databricks, Azure Data Factory, SSIS and other data integration tools. Support other software developer team members with troubleshooting and resolving ...

New

Data Engineer

Lenexa, KS · On-site

$104.40K - $125.30K/yr

... using Databricks, Azure Data Factory, SSIS and other data integration tools. • Support other software developer team members with troubleshooting and resolving complex technical issues and ...

New

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Data Engineer Location: Leawood, KS (Hybrid) Job Type: Contract - We are seeking a skilled Data ... Experience with Snowflake, Databricks, or Redshift . * Knowledge of data lake architectures and ...

Data Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data ... Familiarity with data warehousing solutions (e.g., Databricks). * Knowledge of data modeling, data ...

Data Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data ... Familiarity with data warehousing solutions (e.g., Databricks). * Knowledge of data modeling, data ...

Data Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data ... Familiarity with data warehousing solutions (e.g., Databricks). * Knowledge of data modeling, data ...

Data Engineer

Wichita, KS · On-site

$102.40K - $123K/yr

... Databricks) • Experience working with cloud infrastructure services, particularly AWS (S3, Glue, Lambda) • Experience with dimensional data modeling and translating business processes into data ...

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and ...

Build dashboards and reports in Tableau and Databricks to expose key data points and trends to ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142.40K/yr

Build dashboards and reports in Tableau and Databricks to expose key data points and trends to ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent ...

next page

Showing results 1-20

Overnight Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as an Overnight Databricks Data Engineer, and why are they important?

To thrive as an Overnight Databricks Data Engineer, you need strong proficiency in data engineering, Python or Scala programming, and experience with big data technologies, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and certifications like Databricks Certified Data Engineer are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills, especially for troubleshooting and collaborating across shifts. These competencies ensure reliable data pipeline management and efficient resolution of issues during off-hours, maintaining seamless business operations.

What are some unique challenges faced by Overnight Databricks Data Engineers, and how can they be addressed?

Overnight Databricks Data Engineers often work with limited real-time support, which can present challenges when troubleshooting urgent data pipeline issues or system outages. To address this, it’s essential to develop strong problem-solving skills, document processes thoroughly, and leverage automated monitoring and alerting tools. Additionally, close collaboration with daytime teams during handoff periods ensures continuity and minimizes disruptions. Building a habit of proactive communication and maintaining detailed logs helps the entire team resolve issues efficiently and maintain data quality.

What is an Overnight Databricks Data Engineer?

An Overnight Databricks Data Engineer is a professional who works primarily during night shifts to manage, design, and maintain big data pipelines and workflows using Databricks, a cloud-based data analytics platform. Their responsibilities often include developing and optimizing data processing jobs, ensuring data quality, and troubleshooting issues that arise during overnight data operations. This role is critical for organizations that require 24/7 data processing, continuous ETL jobs, or real-time analytics. Working overnight may also involve monitoring automated systems, performing scheduled data loads, and collaborating with global teams to ensure data availability and reliability.

What is the difference between Overnight Databricks Data Engineer vs Data Engineer?

AspectOvernight Databricks Data Engineer
Work EnvironmentPrimarily remote or on-site, working overnight shifts to support global data operations
CertificationsDatabricks certifications, cloud platform credentials (AWS, Azure), data engineering certifications
Tools & TechnologiesDatabricks platform, Spark, cloud services, SQL, Python, ETL tools
Industry UsageTech, finance, healthcare, retail with 24/7 data needs

While both roles focus on data engineering, the Overnight Databricks Data Engineer specializes in managing data pipelines on the Databricks platform during overnight shifts, often supporting global operations. A Data Engineer may work across various platforms and shifts, with broader responsibilities in data architecture and pipeline development. The overnight role emphasizes specific platform expertise and shift timing, catering to organizations with continuous data processing needs.

What are the most commonly searched types of Databricks Data Engineer jobs in Kansas? The most popular types of Databricks Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Overnight Databricks Data Engineer jobs? Cities in Kansas with the most Overnight Databricks Data Engineer job openings:
Data Engineer

$106.50K - $127.90K/yr

Full-time

Posted 11 days ago


CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Summary

CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas.

Duties & Responsibilities

Responsibilities:

 

Work with product owners to understand and translate business requirements into technical specifications and physical data model requirements. Build, implement and test data pipelines using Databricks, Azure Data Factory, SSIS and other data integration tools. Support other software developer team members with troubleshooting and resolving complex technical issues and challenges. Follow proper coding standards, conduct code reviews to ensure proper code quality level. Follow effective source code management and Cl/CD best practices to ensure data pipelines are automatically tested, integrated and deployed to production. Learn and contribute to continuously improving existing software development, data architecture and frameworks.

Requirements

Requirements:

  • Bachelor's degree in Computer Science or related and five years progressive experience, which must include the following, concurrently:
  • 5 years of experience in data engineering and data warehousing.
  • 5 years of data engineering experience in SSIS and/or other data integration technologies, including designing and implementing full and incremental data loads"
  • 2 years of cloud data engineering and big data experience.
  • 2 years with building/using data warehouse and data marts. 
  • Experience with the following:
    • cloud data engineering and data warehouse technologies in Microsoft Azure, Google or AWS.
    • Big data and Data integration technologies including Spark, Kafka, Databricks, Azure Data Factory, SSIS and SQL.
    • Development in Microsoft SQL Server, including writing SQL scripts, queries, and stored procedures, as well as tuning queries to optimize performance.
    • CI/CD and Jenkins.
    • Delivering data solutions iteratively using the Agile Scrum framework and development processes.
    • Solving business problems through using data and creating analytical solutions.
  • Position also requires the following:
  • Strong demonstrated programming skills in python and SQL for data processing and automation.
  • Demonstrated skills in Visual Studio with the use of source control applications such as Azure DevOps.
  • Demonstrated ability to troubleshoot and resolve complex technical issues related to data processing in a cloud big data infrastructure.

Applicants must have legal authority to work in the United States.

How to Apply:

Send resumes to CommunityAmerica Federal Credit Union, 9777 Ridge Drive, Lenexa, Kansas 66219, attention Ms. Megan Walker, or go to https://www.communityamerica.com/about-us/careers.

Employment Type: FULL_TIME