Data Pipeline Engineer +Airflow Job at Wissen (Pune City)

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

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

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

Data Engineer

Data Engineer role at Airtable, the no-code app platform. The position involves ...

Location

United States , San Francisco

Salary:

179500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow
Proficiency in at least one programming language (preferably Python)
Highly effective with SQL and understand how to write and tune complex queries
Experience wrangling data and understanding complex data systems
Passionate and thoughtful about building systems that enhance human understanding
Communicate with clarity and precision in written form
Experience communicating with graphs and plots

Job Responsibility

Work between engineering organization and stakeholders to understand data needs and produce pipelines, data marts, and other data solutions
Design and update foundational business tables to simplify analysis across the entire company
Improve the performance and reliability of the data warehouse
Build and enforce a pattern language across the data stack to ensure data pipelines and tables are consistent, accurate, and well-understood

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Data Engineer

Become a player in our data engineering team, grow on a personal level and help ...

Location

Serbia , Novi Beograd

Salary:

Not provided

MDPI

Expiration Date

Until further notice

Requirements

A university degree, ideally in Computer Science or related science, technology or engineering field
2+ years of relevant work experience in data engineering roles
Experience in data acquisition, laking, warehousing, modeling, and orchestration
Proficiency in SQL (including window functions and CTE)
Proficiency in RDBMS (e.g., MySQL, PostgreSQL)
Strong programming skills in Python (with libraries like Polars, optionally Arrow / PyArrow API)
First exposure to OLAP query engines (e.g., Clickhouse, DuckDB, Apache Spark)
Familiarity with Apache Airflow (or similar tools like Dagster or Prefect)
Strong teamwork and communication skills
Ability to work independently and manage your time effectively

Job Responsibility

Assist in designing, building, and maintaining efficient data pipelines
Work on data modeling tasks to support the creation and maintenance of data warehouses
Integrate data from multiple sources, ensuring data consistency and reliability
Collaborate in implementing and managing data orchestration processes and tools
Help establish monitoring systems to maintain high standards of data quality and availability
Work closely with the Data Architect, Senior Data Engineers, and other members across the organization on various data infrastructure projects
Participate in the optimization of data processes, seeking opportunities to enhance system performance

What we offer

Competitive salary and benefits package

Senior Data Engineer

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale
Experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)
Value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow
Experience working with different performant warehouses and data lakes
Redshift, Snowflake, Databricks
Experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka
Appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data
Excited to try out new technologies and like to produce proof-of-concepts that balance technical advancement and user experience and adoption
Like to get deep in the weeds to manage, deploy, and improve low level data infrastructure
Empathetic working with stakeholders

Job Responsibility

Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles
Have data quality and performance top of mind while designing datasets
Leading key data engineering projects that drive collaboration across the company
Advocating for adopting industry tools and practices at the right time
Owning core SQL and python data pipelines that power our data lake and data warehouse
Well-documented data with defined dataset quality, uptime, and usefulness

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Data Engineer

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

163200.00 - 223200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale
Experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)
Value SQL as a flexible and extensible tool and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow

Job Responsibility

Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles
Have data quality and performance top of mind while designing datasets
Advocating for adopting industry tools and practices at the right time
Owning core SQL and Python data pipelines that power our data lake and data warehouse
Well-documented data with defined dataset quality, uptime, and usefulness

What we offer

medical, dental, vision, and 401(k)

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Data Pipeline Engineer +Airflow

Wissen

Location:
India , Pune City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Pipeline Engineer +Airflow

Senior AWS Data Engineer / Data Platform Engineer

Senior Software Engineer, Data Engineering

Software Engineer, Data Engineering

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer, Enterprise Data, Analytics and Innovation

Data Pipeline Engineer +Airflow

Wissen

Location:India , Pune City

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:March 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Pipeline Engineer +Airflow

Senior AWS Data Engineer / Data Platform Engineer

Senior Software Engineer, Data Engineering

Software Engineer, Data Engineering

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer, Enterprise Data, Analytics and Innovation

Location:
India , Pune City

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 20, 2026