ZipRecruiter

Log In

1

Weekend Amazon Data Engineer Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123.30K - $148.10K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Amazon Redshift, or BigQuery. * Big Data Processing : Leverage frameworks like Apache Spark ...

Info Way Solutions

Data engineer

Fremont, CA · On-site

$125.30K - $150.50K/yr

Data engineers (with strong Python and AWS experience) Locations : DC/VA/Client(Onsite) GC ,US ... Utilize Amazon Redshift or Amazon Snowflake to create high-performing analytical databases that ...

Astreya

$106K - $127.20K/yr

The Engineer turns the architect's blueprint into a working, automated reality. Key ... Amazon S3, Amazon Redshift (Data Warehouse), Amazon Athena * Governance & Security: AWS Lake ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA

$129.20K - $155.20K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130.30K - $156.50K/yr

... Amazon customers. Partner Experience Business Intelligence (PXBI) fulfills the data needs for the ... As a Data Engineer on the team, you will work with very large datasets in one of the world ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123.40K - $148.20K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123.40K - $148.20K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

The Select Group

Data Engineer

Exton, PA · On-site

$110.50K - $132.70K/yr

This engineer will develop and maintain ingestion pipelines for BMS, SCADA, HVAC controllers ... Amazon Timestream, InfluxDB, TimescaleDB, or Historian systems * AWS data lake experience: S3 ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113.50K - $136.30K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

The Select Group

Data Engineer

Exton, PA · On-site

$110.50K - $132.70K/yr

This engineer will develop and maintain ingestion pipelines for BMS, SCADA, HVAC controllers ... Amazon Timestream, InfluxDB, TimescaleDB, or Historian systems * AWS data lake experience: S3 ...

Amazon

Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

About the Role As a data engineer in the Data Platform organization, you will be transforming ... Amazon Employee Discount

Amazon

Data Engineer

San Francisco, CA

$134.90K - $162K/yr

About the Role As a data engineer in the Data Platform organization, you will be transforming ... Amazon Employee Discount

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130.30K - $156.50K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130.30K - $156.50K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130.30K - $156.50K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

Amazon

Data Engineer III - AMZ9871476

Miami, FL · On-site

$165.78K - $209.10K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Miami, Florida Job Number: AMZ9871476 Position Responsibilities: Design, develop, implement, test, document, and operate ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130.30K - $156.50K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

next page

Showing results 1-20

People also search for

All JobsWeekend Amazon Data Engineer Jobs

Weekend Amazon Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of May 28, 2026, the average yearly pay for weekend amazon data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 does a typical weekend look like for an 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 Weekend Amazon Data Engineers?

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 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.

More about Weekend Amazon Data Engineer jobs
What cities are hiring for Weekend Amazon Data Engineer jobs? Cities with the most Weekend Amazon Data Engineer job openings:
What are the most commonly searched types of Amazon Data Engineer jobs? The most popular types of Amazon Data Engineer jobs are:
What states have the most Weekend Amazon Data Engineer jobs? States with the most job openings for Weekend Amazon Data Engineer jobs include:
What job categories do people searching Weekend Amazon Data Engineer jobs look for? The top searched job categories for Weekend Amazon Data Engineer jobs are:
Weekend Amazon Data Engineer jobs near you
Data Engineer

Data Engineer

Accenture Federal Services

Suitland, MD • On-site

$123.30K - $148.10K/yr

Other

Posted 16 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 424 rated business services

Job description

ob Description: Data Engineer

We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure seamless data flow, scalability, and reliability. You will work closely with data scientists, analysts, and other stakeholders to develop efficient data pipelines, manage large datasets, and integrate machine learning models into production environments.

Key Responsibilities:
  • Programming Fundamentals: Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
  • Data Pipeline Development: Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
  • Cloud Platform Familiarity: Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
  • Database & Querying Skills: Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
  • Big Data Processing: Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
  • ML Integration / MLOps: Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
  • Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
  • Collaboration & Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements, communicate solutions, and document processes using tools like Git, Jira, and Confluence.
Qualifications:
  • 2 years of experience as a Data Engineer or similar role.
  • Strong proficiency in Python or other programming languages relevant to data engineering.
  • Any additional experience with any of the following:
    • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster).
    • Solid understanding of cloud platforms (AWS strongly preferred; GCP or Azure experience also considered).
    • Expertise in SQL and familiarity with relational and columnar databases (e.g., PostgreSQL, Snowflake, BigQuery).
    • Knowledge of big data processing frameworks (e.g., Apache Spark, Databricks, or Apache Kafka).
    • Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon SageMaker, MLflow, or Kubeflow) in production environments.
    • Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon CloudWatch, Datadog, or Great Expectations.
    • Excellent communication skills and a collaborative mindset, with a focus on documentation and best practices.
Preferred Skills:
  • Experience working with large-scale distributed systems.
  • Knowledge of data governance and security best practices.
  • Proven ability to work in cross-functional teams and contribute to problem-solving and innovation.
Clearance:
  • An active TS/SCI federal security clearance is required

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply