Data Engineer II Jobs

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Senior Data Engineer II

We are looking for a skilled Data Engineer to join our growing team. You will pl...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a Data Engineer or in a similar role working with cloud-based data platforms
Technical Skills: Cloud & Orchestration: Airflow (self-managed or managed services like Amazon MWAA) for workflow orchestration, DAG development, and scheduling
Familiarity with best practices for Airflow DAG structure, dependency management, and error handling
AWS Expertise: Hands-on experience with AWS Lake Formation, S3, Athena, and related services (e.g., Lambda, Glue, IAM)
Snowflake: Proficient in setting up data warehouses, configuring security, and optimizing queries on Snowflake
Data Ingestion & Transformation: Experience with Airbyte or similar tools for data ingestion
dbt or other SQL-based transformation frameworks for modular data processing
Programming: Proficiency in Python and/or Java/Scala for building data pipelines and custom integrations
Query Languages: Advanced knowledge of SQL for data manipulation and analysis

Job Responsibility

Data Pipeline Orchestration: Design, build, and maintain end-to-end data pipelines using Airflow (including managed services like Amazon MWAA) to orchestrate, schedule, and monitor batch/streaming workflows
Implement DAGs (Directed Acyclic Graphs) with retry logic, error handling, and alerting to ensure data quality and pipeline reliability
Data Ingestion & Transformation: Integrate data from various sources using Airbyte for ingestion and dbt for transformations in a scalable and modular fashion
Collaborate with Data Analysts and Data Scientists to implement transformations and business logic, ensuring data is analytics-ready
Data Modeling & Warehousing: Design and implement efficient data models for both structured and semi-structured data in AWS S3 (data lake) and Snowflake (data warehouse)
Ensure data schemas and transformations support advanced analytics, BI reporting, and machine learning use cases
Data Governance & Security: Utilize AWS Lake Formation APIs and best practices to maintain data security, access controls, and compliance
Work closely with IT security to establish robust encryption standards, audit trails, and identity/role-based access
Performance Optimization: Optimize AWS Athena queries and configurations (e.g., data partitioning) for performance and cost efficiency
Monitor and tune Airflow DAGs, Snowflake queries, and data transformations to improve throughput and reliability

What we offer

Support for professional accreditations
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Data Engineer II

The purpose of the Data Engineer is to migrate and convert data from foreign dat...

Location

Poland , Warsaw

Salary:

Not provided

SSP Innovations

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Information Technology or related field
1+ year of experience with managed telecommunications databases
3+ years of experience in data conversion, data mapping, and data analysis
3+ years of experience using ESRI, FME, or a combination of both
Intermediate database experience including SQL relationship statements
Intermediate Programming/Report Analysis experience
Communication skills, both oral and written
Strong organizational skills and attention to detail
Deadline driven, ability to work independently as well as a team player

Job Responsibility

responsible for supporting data migrations and data conversions from disparate systems into the 3-GIS Data Model
oversee data mapping exercises and work closely with customers to understand their data models and to provide mapping between systems
employ a variety of tools including but not limited to Python Scripting, Database Scripting languages such as SQL, advanced knowledge of ESRI applications, FME workbenches and internally developed tools, as the assignment dictates
exhibit strong communication skills to ensure customer understanding of data migrations and conversions and must work with various team members such as Solutions Engineers, Data Technicians, Sales Executives and Project Managers to ensure project success
must be detail oriented and maintain proper time management as projects generally have specific timelines and milestones required for project success
ability to provide references for users by writing and maintaining documentation
design, develop, and test data transformation, extraction, and migration activities
prepare technical reports by collecting, analyzing, and summarizing information
perform tasks efficiently while validating methodology
interact directly (face-to-face and remotely) with clients and project teams

Fulltime

Senior Data Engineer II

As a Senior Data Engineer II at dbt Labs, you'll take the lead in designing, bui...

Location

United States

Salary:

172000.00 - 207900.00 USD / Year

dbt Labs

Expiration Date

Until further notice

Requirements

Expert in SQL and Python
8+ years of experience as a data engineer
10+ years of total experience in software engineering
Strong knowledge of data infrastructure and architecture design
Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect
Hands-on experience with handling and ingesting large amounts of Parquet files
A bias for action—able to stay focused and prioritize effectively

Job Responsibility

Design, build, and manage scalable, reliable data pipelines that ingest product and event data into our data stores
Develop and maintain canonical datasets to track key product and business metrics—user growth, engagement, revenue, and more
Architect robust, reliable systems for large volume batch data processing
Drive decisions on data architecture, tooling, and engineering best practices
Enhance observability and monitoring of existing workflows and processes
Partner cross-functionally with teams across Infrastructure, Product, Marketing, Finance, and GTM to understand data needs and deliver impactful solutions
Provide product feedback by “dogfooding” new data infrastructure and AI technology

What we offer

Unlimited vacation time with a culture that actively encourages time off
401k plan with 3% guaranteed company contribution
Comprehensive healthcare coverage
Generous paid parental leave
Flexible stipends for: Health & Wellness, Home Office Setup, Cell Phone & Internet, Learning & Development, Office Space

Fulltime

Data Engineer - II

The Data Engineer will design, develop, and maintain scalable data pipelines and...

Location

India , Pune

Salary:

Not provided

Atica Global

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, a related field, or equivalent practical experience
3-5 years of experience in data engineering or a similar mid-level role
Proficiency in Python and SQL
experience with Java is a plus
Hands-on experience with AWS, Airbyte, DBT, PostgreSQL, MongoDB, Airflow, and Spark
Familiarity with data storage solutions such as PostgreSQL, MongoDB
Experience with BigQuery (setup, management and scaling)
Strong understanding of data modeling, ETL/ELT processes, and database systems
Experience with data extraction, batch processing and data warehousing
Excellent problem-solving skills and a keen attention to detail

Job Responsibility

Design, develop, and maintain scalable data pipelines and ETL/ELT processes using tools like Airflow, Airbyte and PySpark
Collaborate with software engineers and analysts to ensure data availability and integrity for various applications
Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources
Utilize Airflow for orchestrating complex workflows and managing data pipelines
Implement batch processing techniques using Airflow/PySpark to handle large volumes of data efficiently
Develop ELT processes to optimize data extraction and transformation within the target data warehouse
Leverage AWS services (e.g., S3, RDS, Lambda) for data storage, processing, and orchestration
Ensure data security, reliability, and performance when utilizing AWS resources
Work closely with developers, analysts, and other stakeholders to understand data requirements and provide the necessary data infrastructure
Assist in troubleshooting and optimizing existing data workflows and queries

What we offer

Competitive salary and benefits package
Comprehensive Health Care benefits (best in the country, includes IPD+OPD, covers Employee, Spouse and two children)
Growth and advancement opportunities within a rapidly expanding company

Fulltime

Data Engineer II

You will be part of a world-class Data Engineering team, where you will influenc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s / Masters degree (or equivalent work experience) in a STEM field
2+ Years of Experience in Data Engineering or related fields
Expertise in Python or other modern programming language development experience
Knowledge of advanced level capabilities in SQL and relational databases experience
Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
Experience working with product analytics

Job Responsibility

influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Engineer II

You will be part of a world-class Data Engineering team, where you will influenc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s / Masters degree (or equivalent work experience) in a STEM field
2+ Years of Experience in Data Engineering or related fields
Expertise in Python or other modern programming language development experience
Knowledge of advanced level capabilities in SQL and relational databases experience
Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
Experience working with product analytics

Job Responsibility

influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Engineer II

As a data engineer in the People DE team, you will have the opportunity to apply...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

At least 2 years professional experience as a software engineer or data engineer
A BS in Computer Science or equivalent experience
Strong programming skills (some combination of Python, Java, and Scala preferred)
Experience with data modeling
Experience in modern software development practices (Agile, TDD, CICD)
Knowledge of data warehousing concepts
Experience writing SQL, structuring data, and data storage practices
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
A willingness to accept failure, learn and try again

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Engineer II

PagerDuty is looking for a Data Engineer II to join their global Enterprise Data...

Location

Portugal , Lisbon

Salary:

Not provided

PagerDuty

Expiration Date

Until further notice

Requirements

3+ years of experience working in data integration, pipelines, and data modeling
experience designing and deploying code in Data platforms in a cloud-based and Agile environment
knowledge and experience of relational databases and being capable of writing complex SQL
experience working with Cloud-based Data Warehousing Platform such as Snowflake or AWS, or Databricks
experience with Python and SQL
experience working with SQL, AWS S3, and ETL/Automation Workflow tools like Workato

Job Responsibility

translate business requirements into data models that are easy to understand
design, implement, and build pipelines that deliver data with measurable quality under the SLA
partner with business domain experts, data analysts, and engineering teams to build foundational data sets
be a champion of the overall strategy for data governance, security, privacy, quality, and retention
own and document foundational company metrics with a clear definition and data lineage
contribute to the data ecosystem and build a strong data foundation for the company
design, implement, and scale data pipelines that transform billions of records into actionable data models
provide hands-on technical support to build trusted and reliable domain-specific datasets and metrics

What we offer

competitive salary
comprehensive benefits package
flexible work arrangements
company equity
ESPP (Employee Stock Purchase Program)
retirement or pension plan
generous paid vacation time
paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty
paid parental leave

Fulltime

Data Engineer II

Axon

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 23, 2025

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