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ML/AI Data and Cloud Engineer
Tyler Technologies
United States
Strong programming skills in Python and experience with backend, data engineering, or experience with modern ML frameworks and data tooling
Added 1 min ago
Jr. ML Developer
Herndon, VA
As a Junior Machine Learning Developer, you will play a critical role in supporting the design, development, and deployment of machine learning models that drive data-driven decision-making…
Added 1 min ago
DCOSE Manager, Data Center Operations Support Engineering, ADC-DCOSE
Amazon Data Services, Inc.
Arlington, VA · New Albany, OH · Denver, CO · Herndon, VA
…Center Operations throughout the Data Center Community within AWS. You will engage with partner teams, drive change, and provide metrics and data to help define the goals of the…
Added 1 min ago
Senior Software Development Engineer, AWS Kubernetes (K8s)
Amazon Development Center U.S., Inc.
Santa Clara, CA
Our software developers build the next generation technologies that change how millions of AWS customers connect, and interact with AWS services ecosystem. We use ideas from every facet of…
Added 1 min ago
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Senior Data Engineer
Lumin Digital
Remote, United States
- $180,000 to $200,000 USD / year
…and implement reusable tools and capabilities that enhance developer productivity. This role also contributes to technical planning, architectural decisions, and continuous improvement…
Added 2 mins ago
A
Software Developer (Ignition/MES)
Actalent
Carrollton, TX
- $60 to $87 USD / hour
Experience with one or more of the following: Python, Java, C#, or JavaScript.
Added 3 mins ago
Senior IAM & Information Security Engineer
Caris Life Sciences
Irving, TX
Develop automated workflows and scripts (PowerShell, Python, JavaScript) and apply AI-assisted tools where they reduce manual effort, such as access review analysis and audit evidence…
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Full-Stack Engineer 5 (Java, Python, SRE, AWS, AI) (Cloud Operations Resilience Engineering)
Capital One
Plano, TX
Utilize programming languages like Java, Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and…
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Full-stack Engineer 4, Enterprise Platform - Marketing Technology
Capital One
Plano, TX
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
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Data Engineer 4, Real-time Data Platform
Capital One
Plano, TX
…Spark Streaming) using programming languages like Java, Scala,…
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Data Engineer 4, Auto Data Platforms
Capital One
Plano, TX
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
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Android DevOps Engineer
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Plano, TX
. Working knowledge of at least one scripting language such as Bash, Groovy, or Python
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Software Engineer III - AI/ML Developer
JPMorgan Chase
Plano, TX
Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL)
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Lead Software Engineer - Agentic Data Quality Platform
JPMorgan Chase
Plano, TX
Backend: Python, Java, or Kotlin with REST or GraphQL.
Added 3 mins ago
iOS DevOps Engineer
CGI Technologies and Solutions, Inc.
Plano, TX
. Working knowledge of at least one scripting language such as Bash, Groovy, or Python
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Senior Principal Engineer
Autodesk
CA · San Francisco, CA · ON, CA · San Francisco
…the technical strategy and evolution of our cloud platform, developer experience, application delivery, and AI-enabled engineering capabilities within the GET Engineering - Horizontal…
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Full-stack Software Engineer 5, Data Insights Platform (Global Payment Network)
Capital One
Plano, TX · McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
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Manager, Data Science - Emerging ML
Capital One
McLean, VA · NY · San Jose, CA
Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark…
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Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
Capital One
NY · San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more
Added 4 mins ago
Solutions Architect Intern, AWSI - 2027
Amazon
Dallas, TX
…skills? Do you want to help us build new things and evangelize AWS with customers? Do you enjoy being a guiding force, enabling customers to use best practices and design their applications…
Added 4 mins ago
Databricks Solution Architect
CGI Technologies and Solutions, Inc.
Dallas, TX
. Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
Added 4 mins ago
AVP Senior AI ML Engineer
Bank OZK
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Implements AI-powered applications using Python and Java, ensuring robust and maintainable codebases.
Added 4 mins ago
DevOps Engineer
Altamira Technologies Corp.
Tampa, FL
…pipelines to enable rapid and reliable software delivery. Master AWS IAM, creating and managing roles, policies, and permissions based on the principle of least privilege. Develop custom…
Added 4 mins ago
Snowflake Engineer
CGI Technologies and Solutions, Inc.
Houston, TX
. Design, build, and optimize scalable data pipelines (batch and near real time) on Snowflake using SQL, Python, Snowpipe, Streams, Tasks, and Dynamic Tables.
Added 4 mins ago
Databricks Engineer
CGI Technologies and Solutions, Inc.
Houston, TX
. Strong proficiency in Python (PySpark) and SQL.

EXL Talent Acquisition Team

AWS Senior Data Engineer

Jersey City, NJ, United States

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Job details

Apply by: Nov 18, 2026
Experience: 8+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
Posting language: English
Posted: Nov 3, 2026

Original job description

We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions.

Base Compensation Range: 150,000 - 170,000

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.
Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.
Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.
Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.
Participate in the architecture and system design discussions for high-scale data engineering projects.
Independently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices.
Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.
Migrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift.
Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).
Architect and implement CI/CD strategies for enterprise data platforms.
Collaborate with product, operations, QA, and cross-functional teams throughout the software development cycle.
Stay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real-world use cases.
Identify and resolve performance issues and continuously optimize for cost, reliability, and scalability.
Oversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.

Required Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
8+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
Strong programming experience with Python, Shell scripting, and SQL.
Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
Experience in serverless application development and data pipeline orchestration.
Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
Knowledge of ETL/ELT, data modeling, and big data technologies.
Familiarity with data warehousing concepts and cloud-based architecture.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Preferred Qualifications:

Experience with additional AWS services: API Gateway, ElasticSearch, SQS.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Experience with DevOps practices and CI/CD pipelines.
Experience implementing end-to-end streaming solutions (Amazon Kinesis, SQS, Kafka).
AWS Solutions Architect or AWS Developer Certification preferred.
Understanding of Lakehouse/data cloud architecture.
Knowledge of data governance and compliance standards.

Graduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.

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