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Weekend Amazon Data Engineer Jobs in Columbia, MO

Oracle Senior Software Engineer

California, MO ยท On-site

$109K - $144K/yr

Seeking an Oracle Senior Software Engineer to join a team focused on implementing innovative ... data migration tools such as Fivetran or similar Experience using AWS EC2, RDS and Amazon Linux ...

Oracle Senior Software Engineer

California, MO ยท On-site

$109K - $144K/yr

Seeking an Oracle Senior Software Engineer to join a team focused on implementing innovative ... data migration tools such as Fivetran or similar Experience using AWS EC2, RDS and Amazon Linux ...

Seeking an Oracle Senior Software Engineer to join a team focused on implementing innovative ... data migration tools such as Fivetran or similar * Experience using AWS EC2, RDS and Amazon Linux

Environmental Test Engineer Level 3

California, MO ยท On-site

$103.60 - $155.40/hr

Capture and analyze test data, perform basic data reduction, and assist in preparing test reports ... Demonstrated flexibility and willingness to support occasional extended work hours or weekends to ...

Field Data Technician - TN

Jefferson City, MO ยท On-site

$18.75 - $25.50/hr

... plant engineering and various fiber-optic construction projects. Osmose will train the ideal ... Home most weekends with occasional out of state assignments which may involve longer stays of up to ...

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Weekend Amazon Data Engineer information

See Columbia, MO salary details

$42.3K

$123.4K

$168.9K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for weekend amazon data engineer in Columbia, MO is $123,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What cities near Columbia, MO are hiring for Weekend Amazon Data Engineer jobs?

Cities near Columbia, MO with the most Weekend Amazon Data Engineer job openings:

Senior Data Analytics Developer

FHLB Des Moines

California, MO โ€ข On-site

$109.57 - $146.10/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Position SummaryThe Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of designing, testing, and maintaining data integration, data transformation, and data quality processes while maximizing efficient use of Living Spaces data across teams and platforms.Position DescriptionEssential Duties and Responsibilities include the following. Other duties may be assigned.Architect, build, and launch intuitive data models that provide actionable insights for stakeholders across Living Spaces.Determine the optimal data architecture to ensure seamless data integration, distribution, and analysis for Living Spacesโ€™ business data domains, including Marketing, Finance, Sales, Logistics, Support, and more.Build highly efficient and reliable data pipelines to move large and small data amounts from Living Spacesโ€™ Data Warehouse/Retail Systems to downstream databases and data marts for analysis.Develop, implement, and maintain complex integrations from external cloud sources to internal systems using a variety of tools and platforms.Use multiple cloud-based APIโ€™s to establish data connections and ensure their security and integrity.Work across multiple teams in high visibility roles and own the solution end-to-end.Organize, mine, and analyze massive structured and unstructured data sets to identify trends, patterns, and insights that assist in making critical decisions for Living Spaces.Develop and optimize the business metrics data layer for scalability, reliability, and resilience.Translate algorithms (graph theory, Map/Reduce, recursion, and other areas) into working prototype code effectively and efficiently.Develop strategies to extract, resolve, and unify information from various disparate data sources to ensure cohesive integration with external business applications.Create algorithms and heuristics to extract information from large data sets and implement the resulting algorithms in software/scripts.Be a thought โ€“ leader in analytics/data science with respect to entity resolution as it pertains to Living Spaces business goals.Explore data in an unstructured environment and discover meaningful trends that drive business value for Living Spaces.Use SQL Server Integration Services (SSIS) to build high-performance data integration solutions, including extraction, transformation, and loading (ETL) packages for data warehousing.QualificationsEducation/Experience: The ideal candidate for this position should have a Bachelor's degree (B. A. or B. S.) in computer science or engineering or related field, along with 5+ years of diverse experience in designing innovative data solutions for business analytics. They should also have proven experience in managing workflows from architecture to delivery in an Agile framework. Additional knowledge of different database technologies beyond RDBMS, vendor/solution capabilities in data management and reporting/analytics โ€“ data federation, big data, data quality, Business Intelligence, etc., and writing complex SQL queries in a data warehouse environment. They should also have experience BI and dashboarding/reporting tools, including Tableau, Alteryx, etc. The equivalent combination of education and experience will also be considered.Computer Skills: The candidate must have advanced proficiency in expert coding skills across several languages and cutting-edge technologies, including SQL, Python, Java, JavaScript, PHP, and .NET/C# framework. Being knowledgeable in XML, Dynamics AX 2012, Dynamics CRM, Amazon AWS, Microsoft Azure, Microsoft Data Lake and Data Warehouse migration skills will be a plus.Position Hiring RangeThe hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.Compensation: $109,575.00 - $146,100.00Overtime pay is available for eligible, non-exempt Team Members. Reimbursement for expenses as required by applicable law and Company policy. Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.Additional available benefits upon meeting eligibility requirements include:Medical (full-time only)Dental (full-time only)Vision (full-time only)401(k) with Company match (full and part-time)Vacation (full-time only or as otherwise required by applicable law)Paid Sick Leave (full and part-time)Flex or Health Spending Account (for eligible full-time only)Employee Assistance Program (full and part-time)Holiday pay (full-time only)Life insurance (full-time only)For more details, please visit our website at: Careers (livingspaces.com)Equal Opportunity EmployerIt is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a personโ€™s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.E-VerifyLiving Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.Applicant Privacy #J-18808-Ljbffr