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Weekend Amazon Data Engineer Jobs in Maryland (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/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 ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/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

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

SwiftCruit

Data Engineer

Bethesda, MD · On-site

$90 - $120/hr

Occasionally (as needed) support for off-hours deployment, such as evenings or weekends. Required ... Familiarity with working with Amazon Web Services (AWS) or any other cloud environments. * Working ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

Magpie Health Analytics, Inc.

Data Engineer

Baltimore, MD · On-site

$110 - $165/hr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

M9 Solutions

Data Engineer

Bethesda, MD · On-site

$150K - $164K/yr

Occasionally (as needed) support for off-hours deployment, such as evenings or weekends. Required ... Familiarity with working with Amazon Web Services (AWS) or any other cloud environments. * Working ...

M9 Solutions

Data Engineer

Bethesda, MD · On-site

$150K - $164K/yr

Occasionally (as needed) support for off-hours deployment, such as evenings or weekends. Required ... Familiarity with working with Amazon Web Services (AWS) or any other cloud environments. * Working ...

Deloitte

Data Engineer II

Baltimore, MD

$113K - $136K/yr

... Amazon Redshift * 1+ years of experience with version control and continuous integration tools * 1+ years of experience supporting data quality, metadata, and data lineage processes * 1+ years of ...

Syndicus, Inc.

Data Engineer

Columbia, MD · On-site

$170K/yr

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical ... Amazon S3, SQS/SNS Admin experience * Apache Airflow Workloads via UI or CLI a plus * Experience ...

Deloitte

Data Engineer II

Baltimore, MD

$113K - $136K/yr

... Amazon Redshift * 1+ years of experience with version control and continuous integration tools * 1+ years of experience supporting data quality, metadata, and data lineage processes * 1+ years of ...

Deloitte

Data Engineer II

Baltimore, MD · On-site

$113K - $136K/yr

... Amazon Redshift * 1+ years of experience with version control and continuous integration tools * 1+ years of experience supporting data quality, metadata, and data lineage processes * 1+ years of ...

Deloitte

Data Engineer II

Baltimore, MD · On-site

$113K - $136K/yr

... Amazon Redshift * 1+ years of experience with version control and continuous integration tools * 1+ years of experience supporting data quality, metadata, and data lineage processes * 1+ years of ...

Analytica

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

Analytica is seeking a Data Engineer to support a key, long-term federal government client program ... Experience with technologies such as Microsoft SQL Server, Amazon Redshift, Dbeaver, Visual Studio.

VIVA USA INC

Data Engineer

MD · On-site +1

$114K - $137K/yr

Data Engineer - AIBI Overview: We are seeking a Data Intelligence Engineer to design, build, and ... Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ...

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Weekend Amazon Data Engineer information

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 are the most commonly searched types of Amazon Data Engineer jobs in Maryland?

The most popular types of Amazon Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Weekend Amazon Data Engineer jobs?

Cities in Maryland with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Engineer

Accenture Federal Services

Suitland, MD • On-site

$123K - $148K/yr

Full-time

Re-posted 27 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job 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


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