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Night Shift Data Engineer Remote Jobs in Missouri

$112K - $148K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

We are seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines ... Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

$81K - $111K/yr

... remote-first international environment. This is an ideal role for a hands-on data engineering ... expert who enjoys solving complex customer-data challenges and creating scalable, high-quality ...

New

$53.75 - $70.25/hr

The engineer will lead technical delivery for firewalls, remote access, SASE, network segmentation ... Design, deploy, configure, and support next-generation firewalls across data centers, retail ...

Manual Test Engineer Location: Remote - U.S. About Us : Known for "Delighting the Client" through ... Ability to coordinate test data needs with business, technical, and data conversion teams

Build and maintain data pipelines, APIs, and discovery patterns (e.g., ServiceNow Discovery, SCCM, Jamf) to ensure seamless, real-time tracking of the entire software asset lifecycle * Engineer ...

Leverage critical thinking, experimentation, data, end-user feedback and industry best practices to ... Contribute to platform engineering and software standards * Continuously develop self and support ...

New

$95K - $131K/yr

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...

$81K - $111K/yr

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help ...

$180K/yr

Our partner is looking for a Senior Software Engineer (Data) based in Netherlands. This is an ... Fully remote and distributed working environment with flexibility to structure work around personal ...

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Night Shift Data Engineer Remote information

What does a night shift data engineer remote do?

A Night Shift Data Engineer (Remote) is responsible for designing, building, and maintaining data pipelines and infrastructure during overnight hours, often to support real-time data processing or to ensure uninterrupted operations across global teams. Working remotely, they monitor data flows, troubleshoot issues, and optimize performance, ensuring data is available and accurate for business needs. They often collaborate with other engineers and analysts in different time zones, making communication skills and flexibility important. Night shift roles may be required to support 24/7 operations or to align with business activities in other regions.

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

To excel as a Night Shift Data Engineer (Remote), you need a solid background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like SQL and Python. Familiarity with data warehousing solutions, cloud platforms (such as AWS or Azure), and tools like Apache Spark or Hadoop is typically required, along with relevant certifications. Strong problem-solving abilities, effective written communication, and self-motivation are crucial soft skills for remote, overnight work. These competencies ensure high-quality data management, seamless workflow continuity, and reliable support for business operations during off-peak hours.

What are some common challenges faced by night shift data engineers working remotely, and how can they be managed?

Night shift data engineers working remotely often face challenges such as maintaining effective communication with daytime teams, managing irregular sleep schedules, and staying engaged while working independently. To address these, it's essential to establish clear handoff procedures with colleagues, use collaboration tools effectively, and set consistent routines for work and rest. Regular check-ins with teammates and proactive documentation can also help ensure smooth project continuity and personal well-being.

What is the difference between Night Shift Data Engineer Remote vs Night Shift Data Analyst Remote?

AspectNight Shift Data Engineer RemoteNight Shift Data Analyst Remote
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Analytics, Data Analysis certifications
Work EnvironmentTechnical, infrastructure-focusedBusiness, reporting-focused
Employer & Industry UsageTech, finance, healthcareRetail, marketing, finance
Common Search & ComparisonYesNo

Night Shift Data Engineer Remote roles focus on building and maintaining data pipelines and infrastructure, requiring technical certifications and a background in computer science. Night Shift Data Analyst Remote positions emphasize analyzing data to generate reports, often needing analytics certifications. Both roles operate remotely during night shifts but serve different functions within organizations.

What job categories do people searching Night Shift Data Engineer Remote jobs in Missouri look for?

The top searched job categories for Night Shift Data Engineer Remote jobs in Missouri are:

What cities in Missouri are hiring for Night Shift Data Engineer Remote jobs?

Cities in Missouri with the most Night Shift Data Engineer Remote job openings:

Senior Data Engineer (Remote)

Kohl's

Remote

$112K - $148K/yr

Full-time

Re-posted 19 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,472 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

Role Specific Information

Job Description

About the Role

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl's retail offerings.

What You'll Do

  • Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach

  • Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team

  • Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes

  • Facilitate group discussions and team ceremonies and develop a shared context

  • Give and receive feedback that's empathetic, actionable and specific

  • Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify

  • Establish and lead product engineering and software standards

  • Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test

  • Research and stay up to date on tech market trends and practices

  • Lead technical initiatives not only on the team but also across the department

  • Additional tasks may be assigned

Addendum

SENIOR BIG DATA SOFTWARE ENGINEER

  • Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

  • Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).

  • Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).

  • Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.

  • Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.

  • Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.

  • Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies

  • Optimize data performance, scalability, and cost efficiency across GCP components.

  • Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.

  • Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.

  • Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products

What Skills You Have

Required

  • 4+ years of experience in software development

  • Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies

  • In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development

Preferred

  • Bachelor's Degree or equivalent in MIS, Computer Science or related field

  • Experience with large-scale application troubleshooting and performance tuning

  • Exposure working with major cloud platforms (GCP, AWS, or Azure)

  • Familiarity and experience with XP (Extreme Programming)

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

  • Ability to perform the accountabilities listed in the "What You'll Do" Section

  • Ability to comply with dress code requirements

  • Basic math and reading skills, legible handwriting, and basic computer operation

  • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

  • Ability to learn and comply with all company policies, procedures, standards and guidelines

  • Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel

  • Ability to work as part of a team and interact effectively and appropriately with others

  • Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes

  • Ability to satisfactorily complete company training programs

  • Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

  • Ability to plan, prioritize and monitor activities across business units

  • Ability to complete or oversee the completion of assigned projects in a timely manner


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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