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Weekend Amazon Data Engineer Jobs in Pennsylvania

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 ...

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 ...

Data Engineer

Philadelphia, PA · On-site

$100K - $120K/yr

Roles & Responsibilities • Design and implement a scalable AWS-based data platform using Amazon ... engineers, analysts, and business stakeholders to design scalable data solutions aligned with ...

Data Engineer

Philadelphia, PA · On-site

$115.50K - $138.70K/yr

Data Engineer Philadelphia, PA Experience: 5-9 years • Experience in big data, ETL project. • ... Amazon Web Services (AWS) (VPC, EC2, EMR, RDS, DynamoDB, Route 53, ELB, VPN, Direct Connect ...

Data Engineer

Philadelphia, PA · On-site

$95K - $150K/yr

Junior Data Scientist with Data Engineering Skills Seeking a motivated Junior Data Scientist with ... Google, Apple, Facebook (Meta), Amazon, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client ...

Lead Data Engineer

Collegeville, PA · On-site

$113.40K - $136.20K/yr

Data Engineer Mandatory Skills: Snowflake, Matillion, Python, ETL • Master's Degree in Computer ... Amazon Cloud Data tools ecosystem. • Ability to design and implement effective analytics ...

Sr Databricks Data Engineer

Philadelphia, PA · On-site

$109.40K - $131.40K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ...

Sr Databricks Data Engineer

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ...

Data Engineer

Mechanicsburg, PA · On-site

$108.50K - $130.30K/yr

Data Engineer Sev1Tech is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

Data Engineer

Mechanicsburg, PA · On-site

$108.50K - $130.30K/yr

Data Engineer ID 2026-9562 Type Full Time W/Benefits Ret Match Location : Location US-PA ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

Data Engineer

Mechanicsburg, PA · On-site

$108.50K - $130.30K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

Data Engineer

Mechanicsburg, PA · On-site

$108.50K - $130.30K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

Data Engineer

Mechanicsburg, PA

$108.50K - $130.30K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

Sr Databricks Data Engineer

Pittsburgh, PA

$101.40K - $139.30K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Data Engineer

Mechanicsburg, PA · On-site

$108.50K - $130.30K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

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Weekend Amazon Data Engineer information

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.

What are the most commonly searched types of Amazon Data Engineer jobs in Pennsylvania? The most popular types of Amazon Data Engineer jobs in Pennsylvania are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in Pennsylvania? For Weekend Amazon Data Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Weekend Amazon Data Engineer jobs? Cities in Pennsylvania with the most Weekend Amazon Data Engineer job openings:
Data Engineer

$110.50K - $132.70K/yr

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Job description

Job Details
DATA ENGINEER- PHILADELPHIA, PA (REMOTE)
The Select Group is hiring a Data Engineer to support the design, implementation, and operation of a large-scale AWS-hosted data infrastructure platform supporting critical building automation and industrial telemetry systems across approximately 1,700 sites. This engineer will develop and maintain ingestion pipelines for BMS, SCADA, HVAC controllers, environmental sensors, and utility metering systems into a centralized AWS data lake leveraging Amazon S3, Lake Formation, and Glue Catalog. The role will also focus on configuring AWS IoT SiteWise asset models, managing time-series data within Amazon Timestream, and ensuring the scalability, reliability, and performance of the overall platform. Working closely with cross-functional engineering teams and AWS architects, this position plays a foundational role in supporting enterprise-wide data operations and infrastructure strategy.
What You'll Bring:
  • 4+ years in data engineering with production pipeline experience
  • Strong Python and SQL; experience with Spark or Pandas for large-scale data processing
  • Hands-on experience with managed time-series storage: Amazon Timestream, InfluxDB, TimescaleDB, or Historian systems
  • AWS data lake experience: S3 + Glue + Lake Formation + Athena (or willingness to adopt; Azure Data Lake or Databricks experience translates)
  • AWS IoT service exposure: IoT Core, IoT SiteWise, IoT Greengrass (or strong willingness to learn)
  • API and protocol integration experience: REST, MQTT, BACnet, Modbus, OPC-UA
  • Data quality monitoring and alerting - not just pipeline building
  • Git and CI/CD familiarity for pipeline code management; infrastructure-as-code experience (Terraform or AWS CDK) preferred
Bonus Experience:
  • Experience with BMS, SCADA, or industrial IoT data sources
  • Apache Kafka or Amazon Kinesis Data Streams experience
  • dbt (data build tool) or equivalent transformation framework
  • Amazon Managed Grafana or similar observability tooling
  • Experience in critical facility, utility, telecom, or energy sector environments
  • Familiarity with NIST SP 800-82 (OT security) or NERC CIP
What You'll Do:
  • Design and build data ingestion pipelines from BMS, SCADA, HVAC controllers, environmental sensors, and utility metering systems into AWS IoT SiteWise and the shared data lake
  • Configure AWS IoT SiteWise asset models that mirror the physical facility hierarchy (site ? building ? system ? component ? measurement)
  • Architect and maintain the shared data lake schema on S3 + Lake Formation + Glue Catalog; coordinate schema changes across the joint team
  • Configure Amazon Timestream for hot time-series storage with appropriate retention tiers (memory store and magnetic store)
  • Implement data quality frameworks: completeness checks, anomaly detection, cadence validation, alerting via CloudWatch and SNS
  • Build and document AWS IoT Greengrass v2 component integrations with source systems via BACnet (IP and MS/TP), Modbus (TCP and RTU), OPC-UA, SNMP, REST APIs, and MQTT (with mTLS authentication via X.509 device certificates)
  • Optimize query performance and partitioning strategies for time-series facility data in Timestream and Athena (over S3)
  • Support the Simulation Engineer's data feed requirements and HVAC automation event logging for the VBAS POC
  • Operate the production data lake at fleet scale, monitor pipeline health, manage schema governance
  • Produce data flow diagrams, schema documentation, and data dictionary forhandoff and post-handoff operations
    TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.#LI-BF1