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Weekend Amazon Data Engineer Jobs in Baltimore, MD

Capital Technology Group

Data Engineer

Silver Spring, MD · On-site

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Build AI-enabled data solutions using Amazon Bedrock , RAG pipelines , and vector search ...

Magpie Health Analytics

Data Engineer

Baltimore, MD

$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 ...

Deloitte

Lead Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Work You'll Do As a Lead Data Engineer on the AI & Data team, you will be responsible for leading ... NET, Amazon Web Services (AWS), Amazon Elastic Container Service (ECS), and Databricks * Ability to ...

eSimplicity

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Amazon Managed Workflows for Apache Airflow (MWAA). * Load data accurately and optimally into S3 ...

eSimplicity

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Amazon Managed Workflows for Apache Airflow (MWAA). * Load data accurately and optimally into S3 ...

eSimplicity

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Amazon Managed Workflows for Apache Airflow (MWAA). * Load data accurately and optimally into S3 ...

Syndicus, Inc.

Data Engineer

Columbia, MD

$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 ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/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 ...

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

Palantir Foundry Data Engineer

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 ...

Pwc

Data Engineer - Manager

Baltimore, MD · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Leidos

Senior Data Engineer

Silver Spring, MD · On-site

$131K - $237K/yr

Graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph . * Data ... Python or Java for data engineering and automation. You will wow us even more if you have some of ...

Stellent IT LLC

Cloud Data Engineer

Nottingham, MD · On-site

$116K - $139K/yr

Cloud Data Engineer Nottingham, Maryland(Hybrid, 2 3 days on-site / week) Phone + SKype Visa : USC ... Build and support components and infrastructures of the data warehouse in Amazon Redshift. Develop ...

Amazon

Senior Process Engineer, Amazon Air

Baltimore, MD · On-site

$103K - $133K/yr

PE's have customer impact by identifying and solving process defects, deep diving data, using ... weekends, nights, and/or holidays - Travel domestically up to 10% of the time - Work a flexible ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Baltimore, MD

Weekend Amazon Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

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

As of Aug 6, 2026, the average yearly pay for weekend amazon data engineer in Baltimore, MD is $128,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

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 popular job titles related to Weekend Amazon Data Engineer jobs in Baltimore, MD? For Weekend Amazon Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Baltimore, MD look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Weekend Amazon Data Engineer jobs? Cities near Baltimore, MD with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Data Engineer

Capital Technology Group

Silver Spring, MD • On-site

$118K - $142K/yr

Full-time

Posted 9 days ago

Job description

Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

The CTG Experience

At Capital Technology Group (CTG), our teams are passionate about modernizing how the federal government delivers software. We partner with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026. CTG fosters a culture rooted in our core values. Our values guide how we work together and support one another, creating an environment where employees feel trusted, empowered, and encouraged to grow both personally and professionally.

About the Role

CTG is seeking a Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.

You Will Get To
  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), Databricks, dbt, SQL (PostgreSQL), and AWS Glue.
  • Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch.
  • Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro.
  • Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies.
  • Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases.
  • Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes.
  • Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures.
  • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.
  • Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST 800-53 security controls.
  • Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services.
  • Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.
  • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders.
Who You Are
  • A strategic data engineer who enjoys designing complex systems and solving complex challenges
  • Strong in modern cloud-based solution design
  • Comfortable balancing business needs with technical constraints and long-term strategy
  • A strong communicator
  • Collaborative, proactive, and comfortable navigating ambiguity
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 4+ years of professional experience in data engineering or related domains
  • Strong hands-on experience with:
    • Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.
    • Designing, building, and maintaining AWS-native data platforms using AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch.
    • Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.
    • Working with modern data lake technologies including Apache Iceberg and data formats such as Parquet, ORC, and Avro.
    • Designing and optimizing solutions using relational and NoSQL databases including PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL platforms.
    • Building reliable, high-performance data platforms through performance tuning, system optimization, and enterprise-scale ETL/ELT architectures.
    • Java development and modern CI/CD practices using Harness.
  • Strong analytical and problem-solving skills
  • Experience working in agile, iterative software development environments
  • Ability to quickly learn and apply new technologies and domain knowledge
  • Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences
Nice to Have
  • Experience supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus.
  • Experience with Kafka (streaming/data pipelines)
  • Experience with Docker and Kubernetes for containerization and orchestration
  • Proficiency with Splunk for log aggregation and system monitoring
  • Experience using Terraform for infrastructure automation and management
  • Strong SQL skills, including performance tuning and complex query design
Salary

We are committed to offering a competitive salary for this position, with an estimated range of $110k to $140k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.

Full Time Employee Benefits
  • Remote Work (Hybrid roles will be specified in the job post)
  • Competitive Compensation Package
  • Medical, Dental, and Vision
  • Life Insurance, Short/Long Term Disability
  • Employee Assistance Program
  • 401(k) with 4% matching
  • Liberal PTO vacation policy
  • Generous Annual Continuing Education
  • Annual Wellness Budget
  • Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.