AWS

AWS Engineer Jobs

203 jobs found

Today

Staff Software Engineer, Data Platform (FedRAMP)

Okta Bellevue, WA

Bellevue, WA

Today

$194k - $267k/yr Full time Backend Developer AWS Big Data

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Job Description

Okta is hiring a Staff Software Engineer to help build and operate a FedRAMP-aligned data platform, focused on streaming infrastructure and foundational services for analytics and ML.

Responsibilities

Design, implement, and take ownership of data-intensive, high-performance, scalable platform components
Partner with engineering teams, architects, and cross-functional partners on project development, design, and implementation
Participate in design reviews and code reviews, and perform analysis and performance tuning
Coach and mentor engineers to support team growth and engineering scale-up
Debug production incidents across services and multiple layers of the stack

Requirements

8+ years of experience in object-oriented languages, preferably Java
Hands-on experience with cloud-based distributed computing technologies, including messaging systems such as Kinesis and Kafka
Hands-on experience with data processing systems such as Flink, Spark, and Beam
Hands-on experience with storage and compute systems such as Snowflake and Hadoop
Hands-on experience with coordinators and schedulers such as those used in Kubernetes, Hadoop, and Mesos
Experience developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection, and memory management
Reliability engineering experience, including data quality, data observability, and incident management

Technologies

Java, Kinesis, Kafka, Flink, Spark, Beam
Snowflake, Hadoop, Kubernetes, Mesos, ElasticSearch

About the Team

Data Platform team builds foundational data services, systems, and data products for Okta that support user outcomes
Streaming analytics
Interactive end-user reporting
Data and ML platform to scale Okta capabilities
Telemetry for products and data

About the Position

Scale high volume, low latency distributed data-platform services and data products
Build foundational infrastructure to support Okta for years to come
Design, build, and deploy systems powering data analytics and ML
Work across an analytics infrastructure stack using modern technologies including Kinesis, Flink, ElasticSearch, and Snowflake

Nice to Have

Experience maintaining security, encryption, identity management, or authentication infrastructure
Hands-on experience leveraging major public cloud providers to build mission-critical, high volume services
Hands-on experience developing data integration applications for large scale (petabyte scale) environments across batch and online systems
Contributed to distributed systems at high volume or criticality, such as Kafka or Hadoop
Experience developing Kubernetes-based services on the AWS Stack

Federal Environment Requirements

Ability to access federal environments and/or have access to protected federal data
As a condition of employment, documentation establishing U.S. Person status (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee per 22 CFR 120.15) must be submitted upon hire

Location: Bellevue, WA (hybrid)
Salary: USD 194,000 - 267,000 per year
Minimum Experience: 8+ years

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Today

Database Administrator / Data Engineer

Career Land Center, LLC Richmond, VA

Richmond, VA

Today

Full time Amazon Rds Amazon Web Services AWS

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Job Description

Career Land Center, LLC is seeking a Database Administrator / Data Engineer to help migrate on-prem SQL Server data to AWS and Snowflake and build Python and AWS-based data processing and pipelines.

Responsibilities

Support database migration activities
Perform Python-based data processing and support data loads
Develop AWS data pipelines for applications using Amazon RDS and DynamoDB

Requirements

5+ years of experience in Database Administration, Data Engineering, or a related role
Experience migrating on-prem SQL Server databases to AWS and Snowflake
Experience with AWS Database Migration Service (DMS) or comparable migration tooling
Hands-on experience with AWS database technologies, including RDS and DynamoDB
Experience writing Python scripts for data processing and data loads
Experience building AWS data pipelines using S3, Glue, and Lambda
Experience with data modeling and supporting application data environments
Experience with PostgreSQL, SQL Server, and DynamoDB
Familiarity with version control tools such as GitHub

Required Technologies

AWS
Snowflake
Amazon RDS
DynamoDB
AWS Database Migration Service (DMS)
Python
S3
Glue
Lambda
PostgreSQL
SQL Server
GitHub

Location and Work Schedule

Richmond, VA (Hybrid)
Hybrid schedule requires 2–3 days onsite each week
Additional onsite days may be requested
Local candidates near Richmond, VA are preferred due to onsite requirements

Employment Duration

Contract runs through July 31, 2026
Possible extension

Additional Information

Candidates must currently reside in the United States
Parking is not provided for contractors

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1d ago

Lead Data Engineer

Lutron Electronics Co., Inc Coopersburg, PA

Coopersburg, PA

1d ago

Full time Manager 3d Design Tools Amazon Eks

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Job Description

The Lead Data Engineer role at Lutron Electronics Co., Inc. is focused on building and scaling a modern, cloud-native data and AI platform. You will shape enterprise data ecosystem architecture and lead scalable data solutions spanning streaming, cloud platforms, data modeling, and AI enablement.

Core Responsibilities

Lead the development of Lutron’s cloud-based data ecosystem.
Mentor data engineers, software engineers, and data scientists.
Establish and drive best practices for data engineering, including governance, security, and scalability across teams.
Streamline data access and promote data literacy throughout the organization.
Process, clean, and validate large-scale datasets to preserve data integrity.
Architect cloud-based solutions using AWS and Microsoft platforms.
Model data to support business needs, enabling accurate analytics, KPIs, and decision-making across functional areas.
Build and maintain infrastructure used to host, manage, and automate machine learning models and advanced analytics.
Support AI/ML workflows by creating scalable pipelines for model training, deployment, monitoring, and versioning.
Integrate AI-driven capabilities such as recommendation engines, natural language processing, and predictive analytics into enterprise systems.
Optimize data pipelines for large-scale feature engineering, experiment tracking, and real-time inference.
Collaborate with data scientists to productionize AI models and agents, focusing on performance, reliability, and compliance.
Ensure performance and data quality through SQL programming and optimization.
Communicate technical concepts effectively to both technical and non-technical stakeholders.
Develop automated analytics, dashboards, and data visualizations to support business decisions.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or Software Engineering.
Minimum cumulative GPA of 3.00 for all degrees earned.
8+ years of experience in a related field.
Proven expertise in modern data modeling, real-time and batch data processing, and cloud-based architectures.

Technology & Tools

Cloud platforms: AWS (S3, Glue, EKS, Lambda, SageMaker, Redshift, Athena, Bedrock, Agentcore) and Microsoft.

Databases: SQL and NoSQL.

Visualization: Power BI, Tableau, QuickSight.

Programming & analytics: Python (Pandas, NumPy, PySpark).

Equal Opportunity Statement

Lutron Electronics is an Equal Opportunity – Affirmative Action – Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability, or genetics.

Location

Coopersburg, PA (onsite)

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1d ago

Full Stack Software Engineer

Asylon Norristown, PA

Norristown, PA

1d ago

$115k - $160k/yr Full time Backend Developer API APIs

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Job Description

Asylon is building out its Philadelphia-area engineering team and needs a full stack software engineer to serve as the primary developer for DroneIQ. DroneIQ is the web application used to manage and interact with DroneCore deployments, and this role includes ownership of features from the user interface through backend services.

This position is onsite in Norristown, PA, supporting a product that connects operators with dashboards, alerts, geofencing, video playback, and mission management.

Role focus

Design, build, and maintain full stack features across the Vue frontend and backend services for DroneIQ
Develop and improve user-facing workflows including dashboards, alerting, geofence management, video playback, and mission planning interfaces
Build and maintain REST APIs that support the frontend and integrate with robotics and data systems
Collaborate with robotics and infrastructure engineers to surface real-time telemetry, video, and sensor data in the application
Create visualizations that turn complex robotic telemetry, 3D spatial data, and media stored in S3 into actionable insights for security operators
Improve performance, reliability, and user experience based on customer feedback and operational needs
Support backend services and infrastructure work beyond the application layer as priorities shift
Participate in code review, testing, and CI/CD practices to maintain code quality

Minimum qualifications

3+ years of professional full stack software engineering experience
Strong proficiency with a modern frontend framework such as Vue, Angular, or React
Experience building and maintaining backend services in Python, Go, or Java
Comfort designing and consuming REST APIs
Proficiency with databases such as MongoDB, PostgreSQL, or MySQL, including schema design, query optimization, and migrations
Proficiency with Git and collaborative development workflows
Proficiency with Linux as a development environment
Ability to own features end-to-end from UI through backend and database

Technologies

Vue, Angular, React
Python, Go, Java
REST APIs
MongoDB, PostgreSQL, MySQL
Git, Linux
S3

Bonus points

Experience with Kubernetes or containerized deployments
Experience with real-time data (WebSockets, server-sent events, or streaming protocols)
Familiarity with video streaming or playback in web applications (HLS, WebRTC, or similar)
Experience with geospatial data or mapping libraries (Leaflet, Mapbox, Cesium, or similar)
Experience with 3D visualization in the browser (Three.js, WebGL, or similar)
Experience with Redis for caching, pub/sub, or session management
Experience with CI/CD pipelines for automated testing and deployment
Has worked on products used by non-technical end users and cares about usability
Experience with Rust

Compensation and benefits

Salary: USD 115,000 - 160,000 per year
Competitive salary and equity packages
401(k) and 401(k) matching
Flexible vacation/sick time
Medical, dental, and vision insurance
Life insurance
Paid time off
Relocation assistance
Dental insurance
Health insurance
Paid holidays
Vision insurance

Eligibility requirement

Due to the nature of the projects worked on in this position, applicants must be a U.S. person as defined by 22 C.F.R. § 120.62, including U.S. citizens, lawful permanent residents, refugees, or asylees.

Location and commute

Work location: In person
Preferred commute: Norristown, PA 19401

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3d ago

Software Engineer III

Jason Pharmaceuticals, Inc. Baltimore, MD

Baltimore, MD

3d ago

$128k - $173k/yr Full time Backend Developer Senior 3d Design Tools

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Job Description

Jason Pharmaceuticals, Inc. is seeking a Software Engineer III for an onsite role in Baltimore, MD. The position is focused on establishing engineering standards and best practices, mentoring teammates, and delivering cross-team architecture solutions and code reviews, while spending the majority of time on hands-on platform and data engineering.

Role Focus

This Software Engineer III role is 70% hands-on and 30% cross-team collaboration. The work includes designing, implementing, and optimizing cloud-based and data platforms, along with contributing to engineering documentation, design reviews, and ongoing improvements across teams.

Key Responsibilities

Establish standards and best practices; collaborate on solutions and ensure alignment with user needs.
Document software and system designs, drive engineering growth, and mentor engineers through technical guidance.
Lead with engineering solutions by working with the team on new projects from discovery and initial development through implementation and deployment.
Provide production support by improving monitoring capabilities and building automation to support platform operations.
Implement cloud solutions using AWS services including EC2, S3, Lambda, RedShift, SQL Server, and RDS, translating requirements into well-architected cloud infrastructure.
Serve as the Software Engineer for applications under the direction of the Director, Software Engineering.
Help manage the design and development process by driving decisions and coordinating efforts with team members.
Coordinate with network administrators, systems analysts, and software engineers to troubleshoot software products and company software or web applications, supporting debugging and continuous improvement.

Required Qualifications

Bachelor’s degree in computer science, information systems, or engineering.
7+ years of experience in Platform Engineering.
5+ years experience with SQL and relational databases, including SQL Server.
3+ years experience with Redshift, AWS RDS, AWS DynamoDB, and Glue.
3+ years experience in Data Replication, Data Sharing, and Data Modelling, including logical and physical data sources.
Strong knowledge and ability to work with data replication and migration tools and methods such as DMS and Glue.
Experience with scripting languages such as PowerShell or Python.
Knowledge of data integration and ETL pipelines across the platform.
Ability to envision and create automation for provisioning and administration tasks.
Knowledge of Identity Access Management, such as Okta, OAuth2, and JWT.
Knowledge of CI/CD development practices.
Ability to collaborate across teams including Product, Operations, Infrastructure, and Engineering.

Technologies and Tools

The role includes work across the following technologies: AWS, EC2, S3, Lambda, RedShift, SQL Server, RDS, SQL, AWS DynamoDB, Glue, and data replication and modeling concepts including Data Replication, Data Sharing, Data Modelling, logical data source, and physical data source using DMS. Additional tools include PowerShell, Python, ETL pipelines, and Identity Access Management components such as Okta, OAuth2, and JWT, along with CI/CD.

Compensation

Annual salary range: $128,053.74 - $173,249.18

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3d ago

Data Analytics Engineer

EXL Service San Francisco, CA

San Francisco, CA

3d ago

$140k - $155k/yr Full time Analytics Apache Airflow AWS

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Job Description

EXL Service is seeking an experienced Data Analytics Engineer to design, build, and optimize scalable data pipelines and analytics infrastructure that support financial products and decision-making. The role blends ETL/ELT engineering with cloud-native workflow orchestration and deep SQL and PySpark expertise within a regulated environment.

This position is based in San Francisco, CA (onsite) and offers a salary range of USD 140,000 - 155,000 per year. The ideal candidate will bring 5+ years of relevant experience and advanced data engineering skills across the analytics data stack.

Responsibilities

Design, build, and maintain scalable ETL/ELT data pipelines across cloud and on-prem sources, ensuring data quality, lineage, and auditability.
Develop and optimize Python/PySpark and SQL transformations for large-scale, high-volume financial datasets.
Architect and operate data pipeline orchestration using tools such as Airflow, Databricks Workflows, and Step Functions to automate ingestion, transformation, and delivery.
Build and maintain CI/CD pipelines with GitHub and GitHub Actions to enable automated testing, deployment, and version-controlled infrastructure changes.
Develop AWS-based solutions using S3, Glue, EMR, Redshift, Lambda, and IAM to support analytics, reporting, and downstream ML use cases.
Deploy and manage infrastructure and pipelines as code, applying best practices for environment promotion, rollback, and monitoring.
Monitor and troubleshoot pipeline performance, query efficiency, and cost across the data stack.
Collaborate with data scientists, analysts, product, and risk/compliance teams to translate requirements into robust data solutions.
Apply data governance, security, and regulatory compliance standards for financial data, including PII, SOX, and PCI.
Document pipeline architecture, data models, and processes; contribute to engineering standards and code review practices.

Requirements

Advanced proficiency in Python for scripting, automation, and data engineering workflows.
Hands-on experience with PySpark for distributed processing at scale.
Expert-level SQL, including advanced SQL capabilities such as window functions, query optimization, complex joins, and performance tuning.
Solid experience with AWS services and cloud application/data development, including S3, Glue, EMR, Redshift, Lambda, IAM, and CloudWatch.
Proven expertise building and orchestrating data pipelines using Airflow, Databricks Workflows, Step Functions, or equivalent.
Hands-on CI/CD experience with GitHub / GitHub Actions for automated build, test, and deployment.
Deep understanding of ETL/ELT design patterns, data modeling, and data warehousing concepts.
Experience deploying infrastructure and pipelines via code (for example, version-controlled deployments).
Demonstrated ability to optimize pipeline performance, query execution, and cloud resource and cost efficiency.
Bachelor’s degree in computer science, Engineering, Data Science, or a related field (or equivalent practical experience).
5+ years of experience in data engineering, analytics engineering, or a related technical role.
Prior experience in banking, fintech, or financial services, with awareness of regulatory and data-security requirements.

Technologies

Python, PySpark, SQL
Amazon Web Services (AWS): S3, Glue, EMR, Redshift, Lambda, IAM, CloudWatch
Airflow, Databricks Workflows, Step Functions
GitHub, GitHub Actions
ETL, ELT, Terraform, CloudFormation
Kafka, Kinesis, Spark Structured Streaming
Great Expectations, dbt
Databricks, Delta Lake, Unity Catalog, notebooks

Preferred / Desired Skills (Nice to Have)

Hands-on experience with Databricks, including Delta Lake, Unity Catalog, notebooks, and cluster optimization.
Familiarity with Terraform or CloudFormation for infrastructure as code.
Experience with streaming technologies such as Kafka, Kinesis, and Spark Structured Streaming.
Exposure to data quality and testing frameworks including Great Expectations and dbt tests.
Knowledge of dbt for transformation and analytics engineering workflows.
Understanding of financial data domains such as payments, lending, risk, fraud, or accounting data.
Relevant certifications including AWS Certified Data Analytics / Solutions Architect and Databricks Certified Data Engineer.

Soft Skills

Strong analytical and problem-solving skills with attention to detail and data accuracy.
Excellent communication skills, including translating technical concepts for non-technical stakeholders.
Collaborative mindset with experience working cross-functionally with analysts, engineers, and business teams.
Self-directed approach and comfort owning projects end-to-end in a fast-paced, regulated environment.
Strong ownership mentality around data quality, reliability, and documentation.

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3d ago

Lead Software Engineer

Triano Technologies Remote 🌍 Remote

Remote

3d ago

$0k - $0k/yr Full time Backend Developer Manager Senior

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Job Description

Triano Technologies is hiring a Lead Software Engineer for a remote role. This position is focused on leading cloud-native software work with a strong background in serverless architecture, AWS services, and infrastructure as code.

Role Overview

The Lead Software Engineer will bring 12 to 15+ years of U.S. experience and a cloud-native foundation, with hands-on familiarity across AWS Lambda (Python) and Terraform (IaC). The role also requires experience with event-driven and API-facing components, including Kafka and API Gateway, along with a Java background followed by a transition to AWS, Python, and serverless development.

Key Responsibilities

Maintain strong communication with non-technical stakeholders
Apply a solid understanding of system design to support software decisions and architecture

Required Qualifications

12 to 15+ years of U.S. experience
Strong cloud-native background
Experience with AWS Lambda using Python
Experience with Terraform for Infrastructure as Code (IaC)
Experience with Kafka
Experience with API Gateway
Background in Java and a transition to AWS / Python / serverless development