Sr Engineers, Data Job at T-Mobile (Frisco)

New

Sr Engineers, Data

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees...

Location

United States , Frisco

Salary:

156998.00 - 165000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's degree or foreign equivalent in Computer and Information Technology, Electrical Engineering, Computer Engineering, Computer Science, or related field and 5 years of relevant work experience
Master's degree or foreign equivalent in Computer and Information Technology, Electrical Engineering, Computer Engineering, Computer Science, or related field and 3 years of relevant work experience
Building real-time and large-scale data solutions using Python, and Snowflake features like Snowpipe, and Cloning to enable robust data transformation pipelines, resulting in a 25% improvement in pipeline efficiency
Migrating and optimizing data infrastructure by transforming large datasets from traditional RDBMS (Teradata, SQL Server, Oracle) to Snowflake and Databricks on Azure
Building efficient ETL and data transformation workflows to automate reporting pipelines, boosting pipeline throughput and reducing manual intervention using Snowflake, Azure, Python and Control-M tools
Leveraging cloud platforms including AWS, Azure, and Snowflake to architect high performance, cloud-native data systems with capabilities like Time Travel, Fail-safe, and zero-copy cloning, ensuring compliance, data recovery, and system reliability
Collaborating with global teams across offshore and onshore environments for data cleaning, analysis, and visualization, while also conducting in-depth root cause analysis to identify business opportunities and enhance data-driven decision-making by creating audit checks using Snowflake and Python to ensure the issues are caught at the initial phase
Applying DevOps and scheduling tools: Control-M, GitHub, UC4, and Crontab for CI/CD pipeline automation, workload orchestration, and performance monitoring in multi-cloud data engineering environments
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Independently develop a full software stack
Contributed to designs to implement new insights to improve upon existing systems
Build data persistence solutions for software products, with the chance to work with, learn multiple data stores, and cloud platforms such as AWS, AZURE and Snowflake
Public (AWS, Azure, GCP) analysis of actuals to budget /forecast, analyze key areas of waste and optimization, utilization rates, etc
Extract and analyze large scale data within cloud billing and usage, to support management and financial partners indecision making
Identification, implementation, and maintenance of Key Performance Indicators (KPls)
Translate business and functional requirements into detailed technical specifications
Develop support documentation for acceptance of systems changes into production
Participate in code reviews and walkthroughs of technical specifications with other members of the technical team

What we offer

Annual stock grant
Employee stock purchase plan
401(k)
Free year-round money coaches
Annual bonus or periodic sales incentive or bonus
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
Paid time off

Fulltime

New

Sr. Technical Data Product Owner (Sr. Business Data Analyst)

We are looking for a Sr. Technical Data Product Owner (Sr. Business Data Analyst...

Location

United States , Richmond

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5 to 7 years of experience in business analysis, product ownership, or a related role within data, business intelligence, or data engineering environments
Demonstrated involvement in data migration initiatives, including work related to mapping, integration, or delivery coordination
Strong ability to gather requirements, identify gaps, and translate business requests into clear documentation and actionable plans
Working knowledge of data modeling, ETL processes, and data warehousing concepts
Experience validating datasets and analyzing outputs, with familiarity using BI tools such as Power BI for review purposes
Proven success managing stakeholders and collaborating with business partners, data engineers, and BI teams in fast-paced settings
Strong organizational skills, attention to detail, and comfort working within Agile delivery frameworks

Job Responsibility

Partner with stakeholders to capture business objectives, clarify data needs, and turn those inputs into thorough functional documentation
Lead data-focused project activities by coordinating requirements, source-to-target mapping, and planning for migration and integration efforts
Serve as the key connection point between business teams and Data/BI engineering resources to keep scope, priorities, and expectations aligned
Oversee delivery progress across multiple data workstreams, ensuring milestones are met and outcomes reflect agreed business goals
Review data results and perform analysis to confirm accuracy, completeness, and consistency with stakeholder expectations
Create process mockups or early solution concepts that help teams evaluate requirements and refine the proposed approach
Support testing, validation, and quality checks for data products to improve confidence in delivered solutions
Guide business users through handoffs, knowledge transfer, and adoption activities so new data capabilities are understood and used effectively
Build strong working relationships across teams and establish effective communication paths that support timely decisions and issue resolution

What we offer

medical, vision, dental, and life and disability insurance
enrollment in company 401(k) plan

Sr. Data Engineer – Clinical Data Foundation

The Sr. Data Engineer is responsible for designing, building, maintaining, analy...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s /Bachelor’s degree with 9-12 years of experience in Computer Science, IT or related field
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Hands on experience with various Python/R packages for data analysis, feature engineering and machine learning model training
Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
Excellent problem-solving skills and the ability to work with large, complex datasets
Strong understanding of data governance frameworks, tools, and best practices.
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

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
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
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 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

New

Sr. Data Scientist

Roku is looking for a Senior Data Scientist to join the Core Analytics team supp...

Location

United States , San Jose

Salary:

179900.00 - 190000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

5+ years of professional experience with a bachelor's or master's degree in a quantitative field such as Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science
5+ years of experience in consumer products, digital media, entertainment, or related industries
Strong SQL skills and experience with analytical or programming languages such as Python, R, SAS, or similar tools
Hands-on experience with data visualization platforms such as Tableau or Looker
Hands-on experience with A/B testing, statistical modeling, or forecasting
Ability to approach problems proactively and work effectively in a fast-paced environment

Job Responsibility

Collaborate with stakeholders to align data science initiatives with organizational goals and product strategy
Design, execute, and interpret A/B tests to evaluate product changes and inform decision-making
Translate complex analyses into clear narratives, dashboards, and recommendations for leadership and partner teams
Develop and maintain dashboards, reports, and data visualizations to monitor key business, operational, and system health metrics
Analyze structured and unstructured data to uncover insights, identify trends, and support data-informed decisions
Develop data pipelines that power automation, validation, and reporting
Perform exploratory data analysis on emerging trends across the Roku platform
Collaborate with Program Management and Engineering partners to gather feedback and continuously improve solutions
Provide leadership with actionable insights on initiative performance and future opportunities

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

New

Sr. Data Scientist

Arcfield is seeking a highly experienced and innovative Sr. Scientist to serve a...

Location

United States , Home

Salary:

131831.56 - 316789.28 USD / Year

Arcfield

Expiration Date

Until further notice

Requirements

BS 12-15, MS 10-13, PhD 10+ in a relevant field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline
Must possess an active DoD Secret clearance, with the ability to obtain a TS clearance
10+ years of professional experience in life or physical sciences, with a proven ability to conduct and lead advanced research efforts
Demonstrated success delivering applied scientific research for DoD/Navy programs and integrating research findings into actionable technical solutions
Expertise in experimental design, statistical analysis, and advanced dataset evaluation
Strong understanding of scientific problem definition, solution design, and results-driven research
Familiarity with transitioning scientific outputs into operational systems and collaborating with engineering, test, and program teams
Exceptional technical communication skills with the ability to distill complex findings for reports, peer-level discussions, and executive audiences
Proven experience providing leadership on high-impact tasks and mentoring junior scientists on scientific and technical initiatives
Active DoD Secret clearance (or the ability to obtain one) required due to support for classified programs and facilities

Job Responsibility

Lead high-impact scientific investigations, analyzing complex problems in life or physical science domains to drive actionable technical recommendations
Design and execute rigorous experimental methods, analyze advanced datasets, and produce well-documented, defensible technical conclusions
Collaborate with engineering, testing, and program teams to transition scientific research and findings into deployable mission technologies
Provide thought leadership and technical insight to guide the development of innovative solutions for demanding operational problems
Communicate technical findings and research outcomes through detailed reports, technical exchanges, and leadership briefings to both technical and non-technical stakeholders
Mentor and provide technical leadership to junior staff, fostering a culture of scientific excellence and innovation

What we offer

Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Short Term and Long-Term Disability
Retirement and Savings
Learning and Development opportunities
wellness programs

Fulltime

Sr Data Scientist

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees...

Location

United States , Bellevue; Atlanta; Frisco

Salary:

106000.00 - 191100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4-7 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
4-7 years Experience with data scripting languages (e.g., SQL, Python, R)
2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc.
4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
4-7 years Experience in data visualization
4-7 years Experience working with relational database using SQL
2-4 years experience in the telecom industry
Business Analysis
Business Insights
Critical Thinking

Job Responsibility

Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights
Deliver timely, high-quality analysis and actionable recommendations that support intelligent business decision-making
Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development
Collaborate with engineering teams to implement and enhance machine learning pipelines and production-ready models
Communicate key information and insights to business leaders through verbal, written, and data visualization methods
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)
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 Data Engineer

As a Senior Data Engineer at Amgen, you will be responsible for managing and opt...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s or Master's degree with 8 - 13 years of experience in Computer Science, IT or related field
Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency in workflow orchestration, performance tuning on big data processing
Strong understanding of AWS services
Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures
Ability to quickly learn, adapt and apply new technologies
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices
Excellent analytical and troubleshooting skills

Job Responsibility

Design, develop, and maintain scalable ETL/ELT pipelines to support structured, semi-structured, and unstructured data processing across the Enterprise Data Engineering for Biotech or Pharma functional knowledge of R&D
Implement real-time and batch data processing solutions, integrating data from multiple sources into a unified, governed data fabric architecture
Optimize big data processing frameworks using Apache Spark, Hadoop, or similar distributed computing technologies to ensure high availability and cost efficiency
Work with metadata management and data lineage tracking tools to enable enterprise-wide data discovery and governance
Ensure data security, compliance, and role-based access control (RBAC) across data environments
Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets
Develop CI/CD pipelines for automated data pipeline deployments, version control, and monitoring
Implement data virtualization techniques to provide seamless access to data across multiple storage systems
Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals
Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architectures

Fulltime

Sr. Data Engineer

We are seeking a highly skilled Data Engineer with strong backend engineering ex...

Location

United States , Boston

Salary:

Not provided

Solomon Page

Expiration Date

Until further notice

Requirements

6+ years of experience in Data Engineering, Backend Engineering, or related roles
Strong hands-on experience with Python development
Extensive experience with PostgreSQL and advanced SQL optimization
Experience building and maintaining ETL/ELT pipelines and data integration workflows
Strong knowledge of data engineering concepts, data modeling, and data architecture
Experience working with Parquet file formats and large-scale datasets
Hands-on experience with AWS services including EKS, Lambda, and cloud-native architectures
Experience developing APIs and microservices using FastAPI or similar frameworks
Strong data testing, validation, troubleshooting, and performance tuning skills
Excellent organizational skills with the ability to manage timelines, priorities, and status reporting

Job Responsibility

Design, develop, optimize, and maintain scalable data pipelines and ETL/ELT workflows
Refactor and enhance existing data processing frameworks to improve performance and reliability
Perform extensive data validation, testing, and quality assurance across data platforms
Optimize SQL queries, database structures, and table performance within PostgreSQL environments
Implement and support backend services and APIs using Python and FastAPI
Develop and maintain data solutions leveraging AWS services including EKS and Lambda
Work with Parquet files and large-scale datasets to support analytics and reporting requirements
Improve overall data architecture, operational stability, and system performance
Maintain detailed task tracking, status reporting, and execution transparency through Excel-based project tracking
Proactively identify risks, communicate project status, and manage timelines effectively

What we offer

medical
dental
401(k)
direct deposit
commuter benefits

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