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Weekend Data Automation Jobs (NOW HIRING)

Rockwell Automation

Automation Controls, Customer Support

$85K - $113K/yr

Maintain customer automation installed base data and network infrastructure * Occasionally will work nights and weekends The Essentials - You Will Have: * Bachelor's degree or equivalent years of ...

New

BayCare

Automation RPA Architect

Clearwater Beach, FL · On-site

Weekend Work: Occasional * On Call: Yes Candidates must reside in Florida or be willing to relocate ... Collects data and metrics to monitor and maintain bot performance, measure utilization, and enhance ...

Purple Drive

Network Automation Engineer

Plano, TX · On-site

... • Code/Data deployment and release support • Being able to solve problems quickly and ... shifts and weekends • Experience in building monitoring dashboards in Grafana, Splunk, cloud ...

Divergent

Automation Engineer

Torrance, CA · On-site

Help create and maintain customer product manufacturing data for automated work centers. * Help ... Position may require occasional travel, long hours or weekend work Compensation At Divergent, our ...

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Weekend Data Automation information

What is the difference between Weekend Data Automation vs Data Analyst?

AspectWeekend Data AutomationData Analyst
Required CredentialsBasic data handling, automation tools, scripting knowledgeDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentProject-based, often remote, focused on automation tasks during weekendsOffice or remote, analyzing data, creating reports, and providing insights
Industry UsageTech, finance, e-commerce, where automation improves efficiencyBusiness, marketing, finance, healthcare, across various sectors

Weekend Data Automation primarily involves automating data processes during weekends using scripting and automation tools, often in tech-driven industries. Data Analysts focus on interpreting data, creating reports, and providing insights, typically working during regular business hours. While both roles require analytical skills, Weekend Data Automation emphasizes automation skills and weekend availability, whereas Data Analysts require a broader understanding of data interpretation and reporting.

What are some common challenges faced by professionals in Weekend Data Automation roles, and how can they be effectively managed?

Professionals in Weekend Data Automation roles often encounter challenges such as resolving unexpected data pipeline issues outside standard business hours, maintaining seamless communication with weekday teams, and ensuring all automation scripts run reliably during unattended periods. To manage these challenges, strong documentation, proactive monitoring tools, and clear escalation procedures are essential. Many teams use collaborative platforms and maintain detailed logs to ensure smooth handoffs and rapid troubleshooting, enabling weekend staff to address problems efficiently and keep business operations running smoothly.

What is a Weekend Data Automation specialist?

A Weekend Data Automation specialist is a professional responsible for managing, monitoring, and optimizing automated data processes that run over weekends. Their primary tasks often include scheduling and overseeing data pipelines, ensuring data accuracy, troubleshooting automation errors, and preparing reports for stakeholders. This role is crucial for organizations that need continuous data processing and want to minimize downtime outside regular business hours. Weekend Data Automation specialists typically work with tools like Python, SQL, and workflow schedulers to streamline data operations. Their work helps maintain seamless data flow and supports real-time business intelligence needs.

What are the key skills and qualifications needed to thrive as a Weekend Data Automation Specialist, and why are they important?

To thrive as a Weekend Data Automation Specialist, you need strong analytical skills, proficiency in data manipulation, and experience with automation processes, typically supported by a degree in computer science, information systems, or a related field. Familiarity with automation tools such as Python, SQL, Excel macros, and platforms like UiPath or Alteryx, as well as knowledge of relevant data management systems, is often required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for identifying automation opportunities and collaborating with stakeholders. These skills ensure efficient, accurate data processing and support business operations during critical weekend hours.
More about Weekend Data Automation jobs
What cities are hiring for Weekend Data Automation jobs? Cities with the most Weekend Data Automation job openings:
What are the most commonly searched types of Data Automation jobs? The most popular types of Data Automation jobs are:
What states have the most Weekend Data Automation jobs? States with the most job openings for Weekend Data Automation jobs include:
What job categories do people searching Weekend Data Automation jobs look for? The top searched job categories for Weekend Data Automation jobs are:
Weekend Data Automation jobs near you
Infographic showing various Weekend Data Automation job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer

Data Engineer

Associated Wholesale Grocers, Inc.

Kansas City, KS • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Associated Wholesale Grocers rating

6.7

Company rating: 6.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

31st of 118 rated grocery stores

Job description


Data Engineer
Location: 5000 Kansas Avenue Kansas City, KS 66106
Department: IT
Make us your BEST Choice!
Associated Wholesale Grocers (AWG) is transforming our business intelligence, analytics, and data automation capabilities. The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation for data cleansing, extraction, loading, transformations and visualizations. Another goal is to expand storage and compute capacity for ingestion of structured and unstructured data.
As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a new company-wide business intelligence and analytics environment. You will assist in the design and development of standardized datasets derived from multiple systems of record. A key area of success for this role is developing or applying existing development and scripting skills in process automation to orchestrate data pipelines from business systems, data lakes and third-party data repositories. You will be creating and loading dimensional models that will be used for analysis and reporting. As you work on projects and enhancements you will assist in refining data governance within business processes and the technical tool chain. A key to success in this role is to quickly learn the meaning of business data and understand the business domain.
Scope: This role is a learning position that requires hands-on review and supervision from leads, managers and occasionally Directors.
Position Responsibilities:
Support Availability and Services (50-60%)
  • Troubleshoot and develop solutions to problems, including using AWG approved AI tools such as Gemini, CoPilot and NotebookLM.
  • Collaborate with other developers and support engineers to resolve production, enhancement or development issues.
  • Participate in an on-call rotation for integration and transformation pipelines, legacy systems, and modern data platforms that may involve occasional off-hours and weekend support.
  • Take ownership of following on-call procedures and instituting permanent fixes for repetitive problems.
  • Maintain documentation for legacy systems, jobs, modern pipelines, and modernization implementation.
  • Understand and implement change control procedures (including RFC, CAB, CI/CD).

Deliver Solutions (25%)
  • Build real-time and batch data integrations from disparate source systems into the data lake/data warehouse/delta lake.
  • Build and maintain scalable ETL processes using workflow automation tools.
  • Provide documentation (including Technical Design Documents) for installations and deliverables.
  • Design dimensional models and be able to cleanse and transform raw data into structured formats.
  • Administer and maintain data pipelines used for loading data into the data warehouse or lakehouse.
  • Scale and tune data pipelines, data sets, and SQL queries.
  • Responsible for Unit testing, support of Integration testing, and User Acceptance Testing.
  • Required Basic Skills: Develops timely and proper change documentation. Proactively communicates status to key stakeholders to diagnose and ensure delivery is on track. Takes ownership of assignments. Proactively drives results and seeks support when hitting barriers. Exhibits curiosity to understand how changes fit into the overall scope.

Learning and Continuous Improvement (10-20%)
  • Responsible for understanding and adoption of IT Architecture practice.
  • Continuous learning of existing and future data technologies and tools.
  • Apply standard methodologies to analyze, design, develop, test, and deploy data management solutions.
  • Participate in agile story authoring, sizing, and demo sessions for developed features.
  • Participate in code reviews and receive feedback from the team.
  • Propose process improvements for continuous department maturity.

Align Roadmap and Strategy (5%)
  • Collaborate with business partners to understand their business problems or needs and desired outcomes.
  • In collaboration with other members of the team and user community, configure cloud-based capabilities that enable the AWG community.
  • Communicate priorities to the technology organization to drive effective business solutions.
  • Maintain verbal and written issue identification and status updates to cross-functional teams and leadership.

Position Requirements:
  • Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic understanding of data modelling, mapping and data quality/governance practices.
  • Education: Bachelor's degree in software engineering, computer science, computer information systems, or related degree, or equivalent professional experience.
  • SQL Skills: Must be able to read/write SQL in the following environments (SQL Server, Oracle, DB2).
  • Cloud Experience: Experience working in cloud data environments (AWS, Azure). Experience working with AWS or Azure workflow orchestration tools.
  • Data Systems: Experience working with one or more columnar storage systems (Snowflake, Redshift, BigQuery, etc.).
  • Process: Must have completed at least one full cycle of building a data lake and/or a data warehouse.
  • Analytical Skills: Knowledge and skills with Power BI will be important, not critical.
  • Soft Skills: Strong business communications skills for requirements gathering and development. Ability to multi-task and change priorities.

Nice To Have:
  • Worked with or built Data Lakes, Data Warehouse in a hybrid environment (cloud / on-premises).
  • Experience working with CRM systems like Salesforce.
  • Experience with end-to-end supply chain or merchandising.
  • Exposure to data streaming tools and technologies like Kafka, TensorFlow or similar.
  • Basic knowledge and understanding of statistics and awareness of data science methodologies.

Associated Wholesale Grocers, Inc. (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, serving 1,100 member companies and 3,500 locations throughout 33 states from 9 wholesale division support centers. Consolidated sales for AWG in 2024 were $12.1 billion. In addition to its cooperative wholesale operations, the company also operates subsidiary companies that provide certain real estate and supermarket development services, and pharmaceutical products. For more information, visit AWGinc.com.
Benefits:
  • Medical, Dental, & Vision Insurance
  • Health Savings Account
  • Dependent Care Flexible Spending Account
  • Paid Vacation, Holiday, and Sick Time
  • 401(k) with 4% match along with 3 other contributions
  • Tuition Reimbursement
  • Basic & Supplemental Life and AD&D
  • Employee Assistance Program
  • Short-Term and Long-Term Disability
  • Wellness Program
  • Yearly Holiday Bonus

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