Senior Data Engineer, Risk Job at Cash App (Bay Area)

Software engineer 2 / Senior Software engineer - Azure Data

Microsoft's Azure Data engineering team is leading the transformation of analyti...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with the Azure stack including Storage, Compute, Networking, Fabric, Purview, Synapse, AKS, DevOps, Data Factory, or Power BI
Experience with big data technologies such as Spark, Kafka, Hadoop, or HBase
Experience building data lake or data engineering products, tools, or pipelines
Familiarity with container-based architectures (Docker, Kubernetes)
Ability to debug complex distributed systems on Linux and/or Windows platforms

Job Responsibility

Write extensible, maintainable code in C#, Java, Scala, or Python for Fabric Materialized Lake View services and HDInsight components
Use AI tools and coding best practices across the development lifecycle
Design data refresh, scheduling, and query optimisation features with minimal supervision
Review code from teammates for correctness, test coverage, security risks, and adherence to team standards
Coach junior engineers through code reviews
Debug complex issues in distributed systems running on Azure, Linux, and Windows
Run live site operations on a rotational, on-call basis
Integrate logging and instrumentation to gather telemetry on system health, performance, reliability, and security
Work with product managers, technical leads, and partners across geographies to define customer requirements for Materialized Lake View features

Fulltime

Senior Staff Engineer – Cybersecurity Data Protection Engineer

GEICO’s Cybersecurity organization has an exciting opportunity for an accomplish...

Location

United States , Chevy Chase; Palo Alto; Seattle

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Proven experience with data discovery, classification, handling, access, inventory, and retention
Proven experience with data protection technologies, such as encryption, tokenization and data loss prevention tools
Familiar with programming languages such as Python, Java, or .NET
Experience with designing and implementing data security solutions for enterprise environments
Experience in managing and supervising other Data Protection Engineers
Experience in developing and managing data protection programs focused on data discovery, data inventory, data risk assessments, and encryption for both structured and unstructured data
Strong knowledge of cybersecurity laws, regulations, and best practices
Knowledge of data security frameworks, standards, and protocols
Strong understanding of data privacy laws and regulations (i.e. NYDFS, PCI, etc.)
Strong analytical and problem-solving skills

Job Responsibility

Develop and Implement data protection strategies and initiatives, including classification and handling, data access controls, inventory, encryption, and retention
Work closely with other stakeholders to enforce data protection related policy and respond to regulatory requirements
Develop and maintain data security policies, procedures, standards, and ensure that they are followed by the entire organization
Create and maintain data inventories and data flows, and manage data sharing controls
Drive the design and implementation of data access controls, ensuring only authorized access to sensitive data
CO-develop and implement data retention policy and procedures, ensure compliance with internal policy and external regulations
Enforce data encryption standards and strategies to secure data at rest and in transit
Lead incident response efforts related to data breach and work with stakeholders to mitigate impact
Lead and conduct regular data risk assessments to identify potential vulnerabilities and threats to the organization's data and information systems
Stay abreast of new developments in the field of cybersecurity and ensure that the organization's risk assessment and data security processes are aligned with industry standards and best practices

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Python Tech Lead - Market Risk Quant Engineer - Senior Vice President

The senior python market risk engineer is a senior level position responsible fo...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant experience
Experience in implementing projects
Experience in systems analysis and programming of software applications
Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
Demonstrated knowledge of client core business functions
Demonstrated leadership, project management, and development skills
Relationship and consensus building skills
Bachelor’s degree/University degree or equivalent experience
Highly Experienced Python Professional with great exposure to architecting and building horizontally scalable, highly available, highly resilient and performant applications
Extensive development expertise in building efficient software platforms for data computation and processing

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Fulltime

New

Senior Data Engineer

This role is categorized as hybrid. This means the successful candidate is expec...

Location

United States , Austin

Salary:

133000.00 - 188600.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of relevant full-time experience
or equivalent knowledge
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
Strong proficiency in Scala, Python, SQL, Spark, and Databricks, with production-quality software engineering practices.
Strong experience building and supporting cloud-based ETL/ELT pipelines, data platforms, and pipeline orchestration patterns for both batch and streaming operations.
Experience deploying machine learning models into production environments and supporting model development through operational release.
Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based experimentation and model lifecycle management.
Experience building CI/CD pipelines with Git-based workflows, automated testing, and deployment of data or ML products.
Strong troubleshooting, communication, and cross-functional collaboration skills.

Job Responsibility

Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks to support ingestion, transformation, curation, and delivery of manufacturing and enterprise data
Build reusable Bronze, Silver, and Gold data pipelines, data quality frameworks, and governed data products in Unity Catalog
Build and operationalize ML workflows for data preparation, feature engineering, model training, evaluation, deployment, batch scoring, retraining, and inference
Establish and maintain MLflow-based model lifecycle controls, including experiment tracking, model registration, versioning, lineage, traceability, and controlled promotion across environments
Implement CI/CD pipelines for data products, ML code, workflows, and deployment bundles using Git-based development practices, automated testing, and release automation
Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining, scoring, and downstream operational consumption
Improve reliability, observability, and production readiness through testing, monitoring, validation, alerting, documentation, and automation that reduce deployment risk and manual intervention
Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and business stakeholders to productionize scalable, supportable solutions aligned to production constraints
Support modernization of legacy data and ML workflows into standardized cloud-native Databricks patterns and help bridge proof-of-concept work into repeatable production solutions

What we offer

Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs

Fulltime

New

Senior Data Engineer

Senior Data Engineer - The Senior Data Engineer is responsible for executing the...

Location

Canada , Toronto

Salary:

110000.00 - 130000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

Minimum 5-8 years experience Data Engineering
with experience in Azure using Databricks
Bachelor’s degree Required
Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse, Data Bricks, Cosmos DB, FunctionApps, Logic Apps etc)
Lakehouse experience using Databricks
Azure platform administration
Data Governance Software experience
Microsoft Power BI delivery and support
Strong SQL query skills
Strong history in Python, Pyspark, or Scala

Job Responsibility

Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness
Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards
Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains
Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data
Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability
Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments
Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels
Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks
Operationalize data quality by integrating Informatica IDQ into finance workflows
Apply governance standards by embedding metadata, cataloging, and lineage practices

Fulltime

New

Senior Data Engineer

We are looking for an enthusiastic, numerically minded individual with a strong ...

Location

United Kingdom , Cardiff

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Expert knowledge and experience administering Looker, including user access, roles and permissions, GCP IAM integration, environment management, and service accounts
Good understanding of LookML, deployment workflows and version control practices
Experience supporting BI platforms, with strong troubleshooting and performance optimisation skills
Strong experience with CI/CD, release management, and automation tools using Azure DevOps and Terraform
Strong SQL skills, with the ability to investigate data issues and support platform users effectively
Knowledge of Git and experience working within engineering standards, governance processes and controlled change environments
Strong written and verbal communication skills, both technical and non-technical, with the ability to build effective relationships horizontally and vertically across the business
A proactive, collaborative approach and experience working effectively in agile, fast-paced environments
Adaptable and open to change, with a willingness to upskill in MicroStrategy administration
Able to drive change and innovation, with strong strategic awareness and a broader business perspective

Job Responsibility

Provide platform administration support for our BI tools, primarily Looker and MicroStrategy, ensuring high-quality, reliable services
Own and administer the Looker platform, maintaining availability, performance, stability and security
Manage platform configuration, user access, roles, permissions, service accounts and governance controls in line with security and audit requirements
Manage LookML deployments and source control processes using Azure DevOps to support safe, efficient and repeatable change delivery
Support release planning and controlled platform changes to ensure smooth, low-risk delivery
Monitor platform usage, performance and incidents, identify root causes, and implement lasting improvements
Promote BI administration best practice, including standards for naming, folder structures, access models, content lifecycle and environment management
Work closely with engineers, analysts and stakeholders to understand requirements, resolve issues and support effective use of Looker across the business
Use automation and infrastructure-as-code approaches where possible to improve consistency, reduce manual effort and strengthen platform controls
Contribute to technical design, change management and release planning for BI platform enhancements and strategic initiatives

What we offer

33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
Option to buy or sell up to an additional five days of annual leave
Up to £3,600 of free shares each year after one year of service
Flexible working
24-Hour Ecare
Cycle to Work Scheme
Simply Health
Private Health Cover
Critical Illness Cover
Financial & Mortgage Advice

Fulltime

New

Senior Data Engineer

As Senior Data Engineer you will be responsible for designing, building, maintai...

Location

Portugal , Lisbon

Salary:

35571.65 - 48126.35 EUR / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor's degree and 3 to 5 years of Computer Science, IT or related field experience
Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
Experience with data warehousing platforms such as Amazon Redshift, or Snowflake
Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases
Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets
Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops

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 and communicate effectively with product teams

What we offer

Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide
Modern Tech Stack – Cloud-first, automation-focused, AI-powered
Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams
Continuous Learning – Access to certifications, trainings, mentorship, and career mobility
AMGEN Total Rewards Plan – Comprehensive benefits in healthcare, finance, and well-being
Flexibility – Hybrid work model with time split between our Lisbon office and remote work

Fulltime

Senior Risk Engineer

The Senior Risk Engineer is responsible for leading and accomplishing risk manag...

Location

United States , Round Lake

Salary:

96000.00 - 132000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering or related field with 3+ years of progressive experience in medical device risk management or product development, including ownership of complex systems or programs
Proven experience leading risk management activities across the product lifecycle using tools such as FMEA, FTA, and hazard analysis
Advanced proficiency with requirements and risk management tools (e.g., DOORS), bug tracking systems, and end-to-end traceability and documentation in regulated environments
Excellent analytical and data-driven decision-making skills, with the ability to independently assess risk, influence design decisions, and balance patient safety, product performance, and compliance
Demonstrated ability to lead and influence cross-functional teams, communicate complex risk concepts clearly, and drive alignment across engineering, quality, and regulatory stakeholders

Job Responsibility

Lead risk management activities following ISO 14971 and corporate procedures concerning risk management plans, hazard analyses, FMEAs, fault tree analyses, and risk reports
Identify hazards associated with infusion pumps, including mechanical, electrical, software, usability, and cybersecurity-related risks
Collaborate with cross-functional teams during the build and development to ensure risk controls are incorporated, verified, and validated
Ensure traceability between hazards, hazardous situations, risk controls, and verification activities
Perform robust risk impact assessments of issue records, change controls, complaint trends, and NCR/SNCs using appropriate severity and probability models, ensuring risks are reduced to acceptable levels
Update risk management files based on build changes and post-market information, ensuring ongoing product safety
Facilitate risk reviews and risk management team meetings
Train and mentor team members on risk management principles and tools

What we offer

Support for Parents
Continuing Education/ Professional Development
Employee Heath & Well-Being Benefits
Paid Time Off
2 Days a Year to Volunteer
Medical and dental coverage that start on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance
Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount
401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching
Flexible Spending Accounts

Fulltime

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Senior Data Engineer, Risk

Job Description

Job Responsibility

Requirements

What we offer

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