Senior Data Engineer Jobs

New

Senior Data Engineer

As a Senior Data Engineer, you will be pivotal in designing, building, and optim...

Location

United States

Salary:

102000.00 - 125000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
4+ years of experience in data engineering or a related field
Intermediate to advanced programming skills in Python
Proficiency in SQL and experience with relational databases
Strong knowledge of database and data warehousing design and management
Strong experience with DBT (data build tool) and test-driven development practices
Proficiency with at least 1 cloud database (e.g. BigQuery, Snowflake, Redshift, etc.)
Excellent problem-solving skills, project management habits, and attention to detail
Advanced level Excel and Google Sheets experience
Familiarity with data orchestration tools (e.g. Airflow, Dagster, AWS Glue, Azure data factory, etc.)

Job Responsibility

Developing data pipelines leveraging a variety of technologies including dbt and BigQuery
Gathering requirements from non-technical stakeholders and building effective solutions
Identifying areas of innovation that align with existing company and team objectives
Managing multiple pipelines across Wpromote’s client portfolio

What we offer

Half-day Fridays year round
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

New

Senior Data Engineer

As a senior member of our engineering team, you will take ownership of critical ...

Location

Poland

Salary:

Not provided

Userlane GmbH

Expiration Date

Until further notice

Requirements

Minimum of 5 years of hands-on experience in designing and developing data processing systems
Experience being part of a team of software engineers and helping establish processes from scratch
Familiarity with DBMS like ClickHouse or a different SQL-based OLAP database
Experience with various data engineering tools like Airflow, Kafka, dbt
Experience building and maintaining applications with the following languages: Python, Golang, Typescript
Knowledge of container technologies like Docker and Kubernetes
Experience with CI/CD pipelines and automated testing
Ability to solve problems and balance structure with creativity
Ability to operate independently and apply strategic thinking with technical depth
Willingness to share information and skills with the team

Job Responsibility

Shape and maintain our various data and backend components - DBs, APIs and services
Understand business requirements and analyze their impact on the design of our software services and tools
Identify architectural changes needed in our infrastructure to support a smooth process of adding new features
Research, propose, and deliver changes to our software architecture to address our engineering and product requirements
Design, develop, and maintain a solid and stable RESTful API based on industry standards and best practices
Collaborate with internal and external teams to deliver software that fits the overall ecosystem of our products
Stay up to date with the new trends and technologies that enable us to work smarter, not harder

What we offer

Team & Culture: A high-performance culture with great leadership and a fun, engaged, motivated, and diverse team with people from over 20 countries
Market: Userlane is among the global leaders in the rapidly growing Digital Adoption industry
Growth: We take you and your development seriously. You can expect weekly 121s, a personalised skills assessment and development plan, on the job coaching and a budget for events and training
Compensation: Significant financial upside with an attractive and incentivising package on B2B basis

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

We are seeking a highly skilled and motivated Senior Data Engineer/s to architec...

Location

India , Hyderabad

Salary:

Not provided

Tech Mahindra

Expiration Date

January 30, 2026

Requirements

7-10 years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies
Strong expertise in: Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
Strong expertise in: Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
Strong expertise in: Power BI and/or other visualization tools
Strong expertise in: Azure Functions, Logic Apps, and orchestration frameworks
Strong expertise in: SQL, Python and PySpark/Scala
Experience working with structured and semi structured data (JSON, XML, CSV, Parquet)
Proven ability to build metadata driven architectures and reusable components
Strong understanding of data modeling, data governance, and security best practices

Job Responsibility

Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse ,warehouse, sql) and Azure Data Factory
Build and maintain a metadata driven Lakehouse architecture with threaded datasets to support multiple consumption patterns
Develop agent specific data lakes and an orchestration layer for an uber agent that can query across agents to answer customer questions
Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools
Ensure data quality, lineage, and governance across all ingestion and transformation processes
Collaborate with product teams to understand data needs and deliver scalable solutions
Optimize performance and cost across storage and compute layers

New

Senior Data Engineer

As a Data Software Engineer, you will leverage your skills in data science, mach...

Location

United States , Arlington; Woburn

Salary:

134000.00 - 184000.00 USD / Year

STR

Expiration Date

Until further notice

Requirements

Ability to obtain a Top Secret (TS) security clearance, for which U.S citizenship is needed by the U.S government
5+ years of experience in one or more high level programming languages, like Python
Experience working with large datasets for machine learning applications
Experience in navigating and contributing to complex, large code bases
Experience with containerization practices and CI/CD workflows
BS, MS, or PhD in a related field or equivalent experience

Job Responsibility

Explore a variety of data sources to build and integrate machine learning models into software
Develop machine learning and deep learning algorithms for large-scale multi-modal problems
Work with large data sets and develop software solutions for scalable analysis
Collaborate to create and maintain software for data pipelines, algorithms, storage, and access
Monitor software deployments, create logging frameworks, and design APIs
Build analytic tools that utilize data pipelines to provide actionable insights into customer requests
Develop and execute plans to improve software robustness and ensure system performance

Fulltime

New

Senior Data Engineer - Platform Enablement

SoundCloud empowers artists and fans to connect and share through music. Founded...

Location

United States , New York; Atlanta; East Coast

Salary:

160000.00 - 210000.00 USD / Year

SoundCloud

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, analytics engineering, or similar roles
Expert-level SQL skills, including performance tuning, advanced joins, CTEs, window functions, and analytical query design
Proven experience with Apache Airflow (designing DAGs, scheduling, task dependencies, monitoring, Python)
Familiarity with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.)
Knowledge of data governance, schema management, and versioning best practices
Understanding observability practices: logging, metrics, tracing, and incident response
Experience deploying and managing services in cloud environments, preferably GCP, AWS
Excellent communication skills and a collaborative mindset

Job Responsibility

Develop and optimize SQL data models and queries for analytics, reporting, and operational use cases
Design and maintain ETL/ELT workflows using Apache Airflow, ensuring reliability, scalability, and data integrity
Collaborate with analysts and business teams to translate data needs into efficient, automated data pipelines and datasets
Own and enhance data quality and validation processes, ensuring accuracy and completeness of business-critical metrics
Build and maintain reporting layers, supporting dashboards and analytics tools (e.g. Looker, or similar)
Troubleshoot and tune SQL performance, optimizing queries and data structures for speed and scalability
Contribute to data architecture decisions, including schema design, partitioning strategies, and workflow scheduling
Mentor junior engineers, advocate for best practices and promote a positive team culture

What we offer

Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
Robust 401k program
Employee Equity Plan
Generous professional development allowance
Creativity and Wellness benefit
Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
Various snacks, goodies, and 2 free lunches weekly when at the office

Fulltime

New

Senior Data Engineer

SoundCloud is looking for a Senior Data Engineer to join our growing Content Pla...

Location

Germany; United Kingdom , Berlin; London

Salary:

Not provided

SoundCloud

Expiration Date

Until further notice

Requirements

Proven experience in backend engineering (Scala/Go/Python) with strong design and data modeling skills
Hands-on experience building ETL/ELT pipelines and streaming solutions on cloud platforms (GCP preferred)
Proficient in SQL and experienced with relational and NoSQL databases
Familiarity with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.)
Knowledge of data governance, schema management, and versioning best practices
Understanding observability practices: logging, metrics, tracing, and incident response
Experience with containerization and orchestration (Docker, Kubernetes)
Experience deploying and managing services in cloud environments, preferably GCP, AWS
Strong collaboration skills and ability to work across backend, data, and product teams

Job Responsibility

Design, build, and maintain high-performance services for content modeling, serving, and integration
Develop data pipelines (batch & streaming) with cloud native tools
Collaborate on rearchitecting the content model to support rich metadata
Implement APIs and data services that power internal products, external integrations, and real-time features
Ensure data quality, governance, and validation across ingestion, storage, and serving layers
Optimize system performance, scalability, and cost efficiency for both backend services and data workflows
Work with infrastructure-as-code (Terraform) and CI/CD pipelines for deployment and automation
Monitor, debug, and improve reliability using various observability tools (logging, tracing, metrics)
Collaborate with product leadership, music industry experts, and engineering teams across SoundCloud

What we offer

Extensive relocation support including allowances, one way flights, temporary accommodation and on the ground support on arrival
Creativity and Wellness benefit
Employee Equity Plan
Generous professional development allowance
Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
Free German courses at beginning, intermediate and advanced
Various snacks, goodies, and 2 free lunches weekly when at the office

Fulltime

New

Senior Data Engineer

Senior Data Engineer – Dublin (Hybrid) Contract Role | 3 Days Onsite. We are see...

Location

Ireland , Dublin

Salary:

Not provided

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

7+ years of experience as a Data Engineer working with distributed data systems
4+ years of deep Snowflake experience, including performance tuning, SQL optimization, and data modelling
Strong hands-on experience with the Hadoop ecosystem: HDFS, Hive, Impala, Spark (PySpark preferred)
Oozie, Airflow, or similar orchestration tools
Proven expertise with PySpark, Spark SQL, and large-scale data processing patterns
Experience with Databricks and Delta Lake (or equivalent big-data platforms)
Strong programming background in Python, Scala, or Java
Experience with cloud services (AWS preferred): S3, Glue, EMR, Redshift, Lambda, Athena, etc.

Job Responsibility

Build, enhance, and maintain large-scale ETL/ELT pipelines using Hadoop ecosystem tools including HDFS, Hive, Impala, and Oozie/Airflow
Develop distributed data processing solutions with PySpark, Spark SQL, Scala, or Python to support complex data transformations
Implement scalable and secure data ingestion frameworks to support both batch and streaming workloads
Work hands-on with Snowflake to design performant data models, optimize queries, and establish solid data governance practices
Collaborate on the migration and modernization of current big-data workloads to cloud-native platforms and Databricks
Tune Hadoop, Spark, and Snowflake systems for performance, storage efficiency, and reliability
Apply best practices in data modelling, partitioning strategies, and job orchestration for large datasets
Integrate metadata management, lineage tracking, and governance standards across the platform
Build automated validation frameworks to ensure accuracy, completeness, and reliability of data pipelines
Develop unit, integration, and end-to-end testing for ETL workflows using Python, Spark, and dbt testing where applicable

Senior Data Engineer

Wissen

Location:
India, Bangalore South

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 13, 2025

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Job Posted:
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