ZipRecruiter

Log In

1

Overnight Databricks Data Engineer Jobs in Kansas

TEKsystems

Data Architect

Topeka, KS · Hybrid

$133K - $177K/yr

The organization is in an early-stage data maturity journey, having implemented a Databricks-based ... engineers, and leadership Help ensure the platform is scalable and ready for AI use cases This is a ...

Emprise Bank

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

The Data Engineer role is responsible for building and maintaining the data infrastructure that ... Experience with Azure Data Factory and Databricks is a plus * Excellent communication and ...

TEKsystems

Data Architect

Topeka, KS · Hybrid

$133K - $177K/yr

The organization is in an early-stage data maturity journey, having implemented a Databricks-based ... engineers, and leadership Help ensure the platform is scalable and ready for AI use cases This is a ...

TEKsystems

Data Architect

Topeka, KS · Hybrid

$133K - $177K/yr

The organization is in an early-stage data maturity journey, having implemented a Databricks-based ... engineers, and leadership Help ensure the platform is scalable and ready for AI use cases This is a ...

TEKsystems

Data Architect

Topeka, KS · Hybrid

$133K - $177K/yr

The organization is in an early-stage data maturity journey, having implemented a Databricks-based ... engineers, and leadership Help ensure the platform is scalable and ready for AI use cases This is a ...

Reply

Manager, Data Engineering

Kansas City, KS · On-site

Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Advantage Tech

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term scalability, articulating tradeoffs ...

Advantage Tech

Data Architect

Topeka, KS · Hybrid

$60 - $77.25/hr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term scalability, articulating tradeoffs ...

Advantage Tech

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term scalability, articulating tradeoffs ...

Advantage Tech

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term scalability, articulating tradeoffs ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsOvernight Databricks Data Engineer JobsOvernight Databricks Data Engineer Jobs in Kansas

Overnight Databricks Data Engineer information

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 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 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 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 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:
Overnight Databricks Data Engineer jobs near you
Data Engineer with Databricks, SQL

Data Engineer with Databricks, SQL

Amaze Systems Inc

Overland Park, KS • On-site

$108K - $130K/yr

Other

Posted 5 days ago

Job description

Candidates who have worked with FAANG or Good Product based companies are highly considerable
 
Our team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro.
We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.
WHAT YOU'LL DO
• Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale
• Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting
• Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture
• Engage business teams to understand their problem space and coordinate technical changes end-to-end
• Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes
• Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast
• Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability
• Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead
WHAT WE'RE LOOKING FOR
Experience
• 2-4 years of data engineering experience
• Experience designing & building data pipelines and data lakes in a cloud environment
• Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
• Comfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipeline
• Experience managing stakeholder expectations across technical & business teams
Technical Skills
• Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)
• Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
• Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
• Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
• Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
• Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
• Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
• Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)
How You Work
• Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem
• Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you
• Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
• Bias toward simplicity: you ask whether complexity is necessary before adding it
EDUCATION
• Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent
• Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent
Amaze Systems logo

About Amaze Systems

Sourced by ZipRecruiter

We strive to be the very best in our industry. We're the Best IT Specialists. We value our clients and their trust in us and hence, Our IT & Web Consultants don't hesitate to move mountains to give them high quality & innovative digital strategies, without resting, till they get the brand of their dreams. Our impeccable digital executions has helped several businesses multiply and increase their business enquiries substantially over years making us one of the most preferred online partners.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Dallas, TX, US

Social media

Twitter

View All Amaze Systems Jobs

Apply