Data Engineer (AWS) Jobs

New

AWS Data Engineer

We are seeking a skilled AWS Data Engineer to join our team and help drive data ...

Location

United States , Charlotte

Salary:

60.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, or related field
3+ years of experience in data engineering, with a focus on AWS cloud services
Proficiency in SQL, Python, and AWS data services such as S3, Glue, EMR, and Redshift
Experience with ETL processes, data modeling, and data visualization tools
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities

Job Responsibility

Design and implement scalable and efficient data pipelines using AWS services such as S3, Glue, EMR, and Redshift
Develop and maintain data lakes and data warehouses to store and process large volumes of structured and unstructured data
Collaborate with data scientists and business analysts to deliver actionable insights and analytics solutions
Optimize data infrastructure for performance, reliability, and cost efficiency
Troubleshoot and resolve data integration and data quality issues
Stay current with industry trends and best practices in cloud data engineering
Provide technical guidance and mentorship to junior team members

New

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

New

Data Engineering Support Engineer / Manager

Wissen Technology is hiring a seasoned Data Engineering Support Engineer / Manag...

Location

India , Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Bachelor of Technology or master's degree in computer science, Engineering, or related field
8-12 years of work experience
Python, SQL
Familiarity with data engineering
Experience with AWS data and analytics services or similar cloud vendor services
Strong problem solving and communication skills
Ability to organise and prioritise work effectively

Job Responsibility

Incident and user management for data and analytics platform
Development and maintenance of Data Quality framework (including anomaly detection)
Implementation of Python & SQL hotfixes and working with data engineers on more complex issues
Diagnostic tools implementation and automation of operational processes
Work closely with data scientists, data engineers, and platform engineers in a highly commercial environment
Support research analysts and traders with issue resolution

Fulltime

New

Senior Crypto Data Engineer

Token Metrics is seeking a multi-talented Senior Big Data Engineer to facilitate...

Location

Vietnam , Hanoi

Salary:

Not provided

Token Metrics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field
A Master's degree in a relevant field is an added advantage
3+ years of Python, Java or any programming language development experience
3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus)
3+ years of experience with schema design and dimensional data modeling
Expert proficiency in SQL, NoSQL, Python, C++, Java, R
Expert with building Data Lake, Data Warehouse or suitable equivalent
Expert in AWS Cloud
Excellent analytical and problem-solving skills
A knack for independence and group work

Job Responsibility

Liaising with coworkers and clients to elucidate the requirements for each task
Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed
Reformulating existing frameworks to optimize their functioning
Testing such structures to ensure that they are fit for use
Building a data pipeline from different data sources using different data types like API, CSV, JSON, etc
Preparing raw data for manipulation by Data Scientists
Implementing proper data validation and data reconciliation methodologies
Ensuring that your work remains backed up and readily accessible to relevant coworkers
Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs

Fulltime

New

Senior Data Engineer

Kiddom is redefining how technology powers learning. We combine world-class curr...

Location

United States , San Francisco

Salary:

150000.00 - 220000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

3+ years of experience as a data engineer
8+ years of software engineering experience (including data engineering)
Proven experience as a Data Engineer or in a similar role with strong data modeling, architecture, and design skills
Strong understanding of data engineering principles including infrastructure deployment, governance and security
Experience with MySQL, Snowflake, Cassandra and familiarity with Graph databases. (Neptune or Neo4J)
Proficiency in SQL, Python, (Golang)
Proficient with AWS offerings such as AWS Glue, EKS, ECS and Lambda
Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Strong understanding of PII compliance and best practices in data handling and storage
Strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy

Job Responsibility

Design, implement, and maintain the organization’s data infrastructure, ensuring it meets business requirements and technical standards
Deploy data pipelines to AWS infrastructure such as EKS, ECS, Lambdas and AWS Glue
Develop and deploy data pipelines to clean and transform data to support other engineering teams, analytics and AI applications
Extract and deploy reusable features to Feature stores such as Feast or equivalent
Evaluate and select appropriate database technologies, tools, and platforms, both on-premises and in the cloud
Monitor data systems and troubleshoot issues related to data quality, performance, and integrity
Work closely with other departments, including Product, Engineering, and Analytics, to understand and cater to their data needs
Define and document data workflows, pipelines, and transformation processes for clear understanding and knowledge sharing

What we offer

Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

New

Senior Data Engineer

For this role, we are seeking a Senior Data Engineer for our Client's ETL Suppor...

Location

India

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

In-depth knowledge of AWS Glue, AWS Lambda, and AWS Step Functions
A deep understanding of ETL processes and data warehouse design
Proven ability to troubleshoot data pipelines and perform root cause analysis (RCA)
3-5 years of relevant experience
Hands-on experience with Glue, Lambda, and Step Function development
Must be able to work a day shift that includes coverage for weekends and holidays on a rotational basis

Job Responsibility

Monitor approximately 2,300 scheduled jobs (daily, weekly, monthly) to ensure timely and successful execution
Execute on-demand jobs as required by the business
Troubleshoot job failures, perform detailed root cause analysis (RCA), and provide clear documentation for all findings
Address and resolve bugs and data-related issues reported by the business team
Verify source file placement in designated directories to maintain data integrity
Reload Change Data Capture (CDC) tables when structural changes occur in source systems
Help manage synchronization between external databases (including Teradata write-backs) and AWS Glue tables
Assist in developing new solutions, enhancements, and bug fixes using AWS Glue, Lambda, and Step Functions
Answer questions from the business and support User Acceptance Testing (UAT) inquiries
Make timely decisions to resolve issues, execute tasks efficiently, and escalate complex problems to senior or lead engineers as needed, all while maintaining agreed-upon SLAs

Fulltime

New

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Poland , Wroclaw

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Data Engineer (AWS)

Fyld

Location:
Portugal, Lisboa

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 28, 2025

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Fyld

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