Data Engineer Jobs

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

New

Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

Canada , Toronto

Salary:

124000.00 - 145000.00 CAD / Year

Robinhood

Expiration Date

Until further notice

Requirements

3+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

bonus opportunities
equity
benefits

Fulltime

New

Senior Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

146000.00 - 198000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer to join our product DE team and report...

Location

United States , Seattle; San Francisco; Mountain View

Salary:

135600.00 - 217800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Partner across engineering teams to tackle company-wide initiatives
Mentor junior members of the team
Partner with leadership, engineers, program managers and data scientists to understand data needs
Apply expertise and build scalable data solution
Develop and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
Intelligently design data models for storage and retrieval
Deploy data quality checks to ensure high quality of data
Ownership of the end-to-end data engineering component of the solution
Support on-call shift as needed to support the team
Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data

Job Responsibility

Build top-notch data solutions and data architecture to inform our most critical strategic and real-time decisions
Help translate business needs into data requirements and identify efficiency opportunities

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join their product DE team. T...

Location

United States , Seattle; San Francisco; Mountain View

Salary:

135600.00 - 217800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Partner across engineering teams to tackle company-wide initiatives
Mentor junior members of the team
Partner with leadership, engineers, program managers and data scientists to understand data needs
Apply expertise and build scalable data solution
Develop and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
Intelligently design data models for storage and retrieval
Deploy data quality checks to ensure high quality of data
Ownership of the end-to-end data engineering component of the solution
Support on-call shift to support the team
Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data

Job Responsibility

Build top-notch data solutions and data architecture to inform our most critical strategic and real-time decisions
Help translate business needs into data requirements and identify efficiency opportunities

What we offer

Health coverage
Paid volunteer days
Wellness resources

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

Sr. Data Engineer I, Data Infrastructure

Khan Academy is partnering with SafeInsights to provide researchers access to st...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering within a production environment
Experience with Google infrastructure services and data services particularly GCS & Big Query
Advanced knowledge of Python
Strong SQL skills
Demonstrated proficiency with Docker and Kubernetes
Experience with Airflow
Background in applied math, statistics, economics, or a related technical field
Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere"
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.

Job Responsibility

Collaborate with our Data Insights Group to understand the desired end data product and the overall projects goals
Collaborate with our data architect and Data Infrastructure team to understand available data source and tooling
Propose tooling and processes that will work with extant Khan Academy systems to meet the projects goals
Build test and refine these tools and processes
Deliver the SafeInsights container and associated project deliverables
Provide documentation and training required to maintain and enhance the above

What we offer

Competitive salaries
Ample paid time off as needed
Remote-first culture
Generous parental leave
An exceptional team
The chance to put your talents towards a deeply meaningful mission
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life

Fulltime

New

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Data Engineer

Techstar Consulting

Location:
United States, Woodcliff Lake, New Jersey

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 12, 2025

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