Sr. Data Engineer

We are looking for a skilled Sr. Data Engineer to join our team in Oklahoma City...

Location

United States , Oklahoma City

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience with Snowflake data warehousing and schema design
proficiency in ETL tools such as Matillion or similar platforms
strong knowledge of Python and PowerShell for data automation
experience working with Microsoft SQL Server and related technologies
familiarity with cloud technologies, particularly AWS
understanding of data visualization and analytics tools
background in working with big data technologies such as Apache Kafka, Hadoop, Spark, or Pig
ability to design and implement APIs for data integration and management.

Job Responsibility

Design, implement, and maintain Snowflake data warehousing solutions to support business needs
assist in the migration of in-house data to Snowflake, ensuring a seamless transition
develop data pipelines and workflows using tools such as Matillion or equivalent ETL solutions
collaborate with teams to optimize and manage the existing data warehouse built on Microsoft SQL Server
utilize Python and PowerShell to automate data processes and enhance system efficiency
partner with the implementation team to shadow and learn best practices for Snowflake deployment
ensure data integrity, scalability, and security across all data engineering processes
provide insights into data visualization and analytics to support decision-making
work with cloud technologies, including AWS, to enhance data storage and accessibility
implement and manage APIs to enable seamless data integration and sharing.

What we offer

Medical, vision, dental, and life and disability insurance
eligibility to enroll in 401(k) plan
access to competitive compensation and free online training.

Fulltime

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our growing Quality Engineering t...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
5+ years of experience in data engineering, data warehousing, or data architecture
Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
Proven ability to translate business requirements into scalable, high-performance data solutions
Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
Strong proficiency in SQL and experience optimizing large-scale analytic workloads
Experience working within SDLC frameworks, CI/CD practices, and version control

Job Responsibility

Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity
Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse
Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking

What we offer

PTO Policy
Eligibility for Health Benefits
Retirement Plan
Work from Home

Fulltime

Sr Data Engineer

(Locals or Nearby resources only). You will work with technologies that include ...

Location

United States , Glendale

Salary:

Not provided

Enormous Enterprise

Expiration Date

Until further notice

Requirements

7+ years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g. Python, Java, Scala)
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query)
Experience in developing APIs with GraphQL
Advance understanding of OLTP vs OLAP environments
Candidates must work W2, no Corp 2 Corp
US Citizen, Green Card Holder, H4-EAD, TN-Visa
Airflow

Job Responsibility

Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build and maintain APIs to expose data to downstream applications
Develop real-time streaming data pipelines
Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

What we offer

3 levels of medical insurance for you and your family
Dental insurance for you and your family
401k
Overtime
Sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours

Sr Engineers, Software

T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and...

Location

United States , Frisco

Salary:

131300.00 - 177700.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Electrical Engineering, or related, and 1 year of relevant work experience
Bachelor's degree in Computer Science, Electrical Engineering, or related, and 3 years of relevant work experience
Developing high performance, scalable Business Intelligence Extract-Transform-Load pipelines using ETL tools and scripting, including Unix Shell Scripting, BTEQ Scripting, Oracle SQL Scripting
Performing PL/SQL and SQL queries, data analysis, creation of stored procedures, and validation of revenue for prepaid or postpaid data in Teradata and Oracle Databases that is capable of processing at least 4 million transactions per day
Monitor and optimize the performance of ETL processes, including query performance and data load times, identify and resolve performance bottlenecks
On premise Teradata to Snowflake cloud database migration using modern technology stack – Snowflake, Azure Data Factory, Liquibase data model deployments, dbt for transformations, jinja scripting, Gitlab for code management and DevOps CICD
Coding in a DevOps environment with Gitlab within a SCRUM framework to deliver Continuous Integration Continuous Delivery automations for market growth
Creating and scheduling daily ETL jobs using Control M to process previous-day files using the provided reference and transactional postpaid or prepaid data for revenue recognition. Posting accurate financial results to SAP following SOX controls and audit check mechanisms

Job Responsibility

Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis
Develop and automate large scale, high-performance ETL processes and data pipelines to drive Data Standardization and reporting utilizing Azure Technologies
Possess ability to effectively communicate with non-technical business customers and other stakeholders regarding design, requirements, functionality, and limitations of systems/applications
Possess ability to clearly articulate platform options and risks to non-technical team members
Contribute to a team that is responsible for the design, development, and launch of Accounting & Finance capabilities
Help translate business and functional requirements into well documented technical specifications and user stories
Utilize development skills to build (code) and unit test new systems functionality per technical specifications, with deliverables to include code builds and documented unit test results
Collaborate with other teams including Accounting & Finance Business Partners, Enterprise Testing, Release Planning and Management, Project Management, and Product Operations on successful delivery of product enhancements and support
Maintain technical skills and expertise through continuing education and training

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Sr Staff Data Engineer

Role : Sr Staff Data Engineer (Snowflake expert). Blue Yonder's Platform Data Cl...

Location

United States , Dallas; Scottsdale

Salary:

122219.00 - 189615.00 USD / Year

Blue Yonder

Expiration Date

Until further notice

Requirements

Masters/Bachelor’s Degree in Computer Science or related field REQUIRED
Min of 12 to 15 years of experience in software development
5+ years of experience in Snowflake data engineering and Python/Streamlit preferred
Expertise with Snowflake Architecture - Compute/Storage/Cloud Services
Ability to write Advanced SQL
Bulk data copy using snowflake /Snowpipe / Tasks/Streams
Time travel, Zero Copy Cloning
Optimizer, Metadata Manager
Role based access control (RBAC)
Data Sharing/Marketplace/ Listings/ Data Exchanges

Job Responsibility

Consistently delivers solid quality in both design and implementation and helps the team shape what is built how
Core responsibilities includes working experience with building productionized data ingestion and processing data pipelines in Snowflake
Core responsibilities includes focusing on innovation and improving delivery effectiveness by driving product development features across the organization in software development, deployment, and infrastructure consistency
Provide standardized enterprise solutions for cloud infrastructure and application deployment across multiple products
Apply the appropriate software engineering patterns utilizing a meta-driven systems approach to build robust and scalable systems
Expert in Object Oriented and Functional programming and the ability to apply your skills in developing Blue Yonder products
Influence fellow engineers by proposing software designs, providing feedback on software designs and/or implementation
Demonstrated experience in large-scale Kubernetes systems, including how to sufficiently scale very large services in Kubernetes
Modular and Service based Architectural Design

What we offer

Comprehensive Medical, Dental and Vision
401K with Matching
Flexible Time Off
Corporate Fitness Program
Legal Plans, Accident and Hospital Indemnity, Pet Insurance

Fulltime

Sr Data Engineer

The Sr Data Engineer is essential for designing and developing data architecture...

Location

United States , Overland Park; Atlanta; Frisco

Salary:

105100.00 - 189600.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area
4-7+ years Developing cloud solutions using data series
experience with cloud platforms (Azure Data Factory, Azure Databricks, and Snowflake)
4-7+ years Hands-on development using and migrating data to cloud platforms
4-7+ years Experience in SQL, NoSQL, and/or relational database design and development
4-7+ years Advanced knowledge and experience in building complex data pipelines with experience in languages such as Python, SQL, Scala, and Spark
Analytical approach to problem-solving
ability to use technology to tackle business problems
Knowledge Of Message Queuing, Stream Processing, And Highly Scalable ‘Big Data’ Data Stores

Job Responsibility

Develop data engineering solutions that enable data pipelines, data transformation, data privacy and analytical tools within the T-Mobile Customer Data Platform (CDP)
Collaborate on analysis, architecture, design, and development of data products within the T-Mobile Customer Data Platform (CDP)
Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
Tackling the most complex and innovative tasks of the organization usually with strict time constraints.
Support white-boarding sessions, workshops, design sessions, and project meetings as needed
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
Mentor team members to build and enhance their data engineering skillsets and professional growth
Assist management in project definition, including estimating, planning, and scoping work to meet objectives
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Employee stock purchase plan
Paid time off

Fulltime

Data Engineer Sr (AWS)

Data Engineers are responsible for designing, building, and maintaining the syst...

Location

Mexico , GDL

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6 - 8 years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions
Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
Experience with data pipeline tools (e.g., Apache Airflow, Luigi, Prefect)
Proficiency with at least one programming language (Python, Java, or Scala)
Experience with cloud platforms (AWS) and their data services (e.g., Redshift, BigQuery, Snowflake, Databricks)
Familiarity with data modeling, warehousing, and schema design
Understanding of data governance, privacy, and security best practices

Job Responsibility

Design and implement tailored data solutions to meet customer needs and use cases
Provide thought leadership by recommending the most appropriate technologies and solutions
Demonstrate proficiency in coding skills to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations
Collaborate seamlessly across diverse technical stacks
Develop and deliver detailed presentations to effectively communicate complex technical concepts
Generate comprehensive solution documentation
Adhere to Agile practices throughout the solution development process
Design, build, and deploy databases and data stores to support organizational requirements
Ensure data quality, consistency and governance across multiple sources

Sr Data Engineer

As a Data Engineer, you will be responsible for designing, building, maintaining...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of Computer Science, IT or related field experience
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
Proficient in SQL, Python for extracting, transforming, and analyzing complex datasets from relational data stores
Proficient in Python with strong experience in ETL tools such as Apache Spark and various data processing packages, supporting scalable data workflows and machine learning pipeline development.
Strong understanding of data modeling, data warehousing, and data integration concepts
Proven ability to optimize query performance on big data platforms
Knowledge on Data visualization and analytics tools like Spotfire, PowerBI

Job Responsibility

Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate and communicate effectively with product teams
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Identify and resolve complex data-related challenges

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Sr. Data Engineer - Snowflake

Data Ideology

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 08, 2025

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