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analyst, data integrity

engineer ii data analytics hybrid

CrowdStrike

<div><div>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn&rsquo;t changed &mdash; we&rsquo;re here to stop breaches, and we&rsquo;ve redefined modern security with the world&rsquo;s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We&rsquo;re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We&rsquo;re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.</div><div></div><div><b>
About the Role:</b><br>
CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Engineer II will contribute to building and implementing cost optimization solutions while developing expertise in cloud cost management and FinOps practices.</div><div></div><div><b><i>
PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.</i></b></div><div></div><div><b>
What You'll Do:</b></div><div><b>
Technical Development</b></div><ul><li><div>
Implement cost monitoring and alerting solutions across cloud platforms under senior guidance</div></li><li><div>
Develop scripts and automation tools to support cost optimization workflows</div></li><li><div>
Assist in building cost allocation and tagging implementations for accurate cost attribution</div></li><li><div>
Create and maintain cost optimization dashboards and reporting tools</div></li><li><div>
Support integration efforts between cloud billing APIs and internal systems</div></li></ul><div></div><div><b>
Engineering Support</b></div><ul><li><div>
Contribute to tooling development that supports FinOps processes across product and platform groups</div></li><li><div>
Help implement cost guardrails and automated policies to prevent cost overruns</div></li><li><div>
Assist in developing cost data collection and processing pipelines</div></li><li><div>
Support technical documentation creation for cost-efficient infrastructure patterns</div></li><li><div>
Participate in code reviews and technical design discussions</div></li></ul><div></div><div><b>
Learning and Growth</b></div><ul><li><div>
Work closely with senior engineers to learn FinOps best practices and cost optimization techniques</div></li><li><div>
Collaborate with product engineering teams to understand cost optimization opportunities</div></li><li><div>
Participate in FinOps Working Group meetings to gain cross-functional perspective</div></li><li><div>
Contribute to research on new cost optimization tools and techniques</div></li><li><div>
Support Infrastructure Foundations Program technical initiatives</div></li></ul><div></div><div><b>
Operational Excellence</b></div><ul><li><div>
Monitor and maintain existing cost management tools and systems</div></li><li><div>
Assist in troubleshooting cost-related technical issues</div></li><li><div>
Help implement and test cost optimization recommendations</div></li><li><div>
Support data quality initiatives for cost reporting accuracy</div></li><li><div>
Participate in on-call rotation for cost management systems</div></li></ul><div></div><div><b>
What You'll Need:</b></div><div><b>
Required Qualifications</b></div><ul><li><div>
Bachelor's degree in Computer Science, Engineering, or related technical field</div></li><li><div>
3+ years of software engineering experience</div></li><li><div>
Solid programming skills in Python, Go, or similar languages</div></li><li><div>
Experience with at least one major cloud platform (AWS, Azure, or GCP)</div></li><li><div>
Basic understanding of cloud infrastructure and services</div></li><li><div>
Familiarity with version control systems (Git) and collaborative development workflows</div></li><li><div>
Experience with monitoring tools and basic observability concepts</div></li><li><div>
Understanding of containerization technologies (Docker)</div></li></ul><div></div><div><b>
Preferred Qualifications</b></div><ul><li><div>
Interest in obtaining FinOps Certified Practitioner certification</div></li><li><div>
Exposure to infrastructure as code tools (Terraform, CloudFormation)</div></li><li><div>
Basic experience with CI/CD pipelines</div></li><li><div>
Familiarity with database technologies and SQL</div></li><li><div>
Understanding of networking and security fundamentals</div></li><li><div>
Experience with data visualization tools (Grafana, Tableau, etc.)</div></li><li><div>
Previous exposure to cost optimization or resource management</div></li></ul><div></div><div><b>
Key Competencies</b></div><ul><li><div>
Strong problem-solving skills and attention to detail</div></li><li><div>
Eagerness to learn new technologies and domain expertise</div></li><li><div>
Good communication skills for technical collaboration</div></li><li><div>
Ability to work effectively in a team environment</div></li><li><div>
Self-motivated with ability to take ownership of assigned tasks</div></li><li><div>
Interest in building efficient, cost-conscious systems</div></li></ul><div></div><div><b>
Growth Opportunities</b></div><ul><li><div>
Mentorship from senior FinOps engineers and technical leads</div></li><li><div>
Exposure to cross-functional collaboration with Finance and Business teams</div></li><li><div>
Opportunity to develop expertise in emerging FinOps domain</div></li><li><div>
Career progression path within the growing FinOps practice</div></li><li><div>
Access to cloud platform training and certification programs</div></li></ul><div></div><div>
#LI-LY1</div><div>
#HTF</div><div></div><div><b>
Benefits of Working at CrowdStrike:</b></div><ul><li><div>
Market leader in compensation and equity awards</div></li><li><div>
Comprehensive physical and mental wellness programs</div></li><li><div>
Competitive vacation and holidays for recharge</div></li><li><div>
Paid parental and adoption leaves</div></li><li><div>
Professional development opportunities for all employees regardless of level or role</div></li><li><div>
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</div></li><li><div>
Vibrant office culture with world class amenities</div></li><li><div>
Great Place to Work Certified&trade; across the globe</div></li></ul><div><br>
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.</div><div></div><div>
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs-on valid job requirements.</div><div></div><div>
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at <div>recruiting@crowdstrike.com</div> for further assistance.</div><div></div><div><div>
Find out more about your rights as an applicant.</div></div><div></div><div>
CrowdStrike participates in the E-Verify program.</div><div></div><div><div>
Notice of E-Verify Participation</div></div><div><div>
Right to Work</div></div><div></div>
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $100,000 - $145,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.<div></div><div>
For detailed information about the U.S. benefits package, please <div>click here</div>.</div></div><div></div>

Engineer II - Data Analytics (Hybrid)

RSC Solutions

<div>
 <br/>
 <br/>
 <strong>
  TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
  <br/>
 </strong>
 <strong>
  LOCATION: New York City (midtown)
  <br/>
  HYBRID ONSITE 4 DAYS IN THE OFFICE
  <br/>
  NO C2C 3RD PARTY VENDORS!!
  <br/>
  NO RELOCATION!!
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION:
  <br/>
  EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
  <br/>
  <br/>
 </strong>
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 <br/>
 <br/>
 <br/>
 <strong>
  Specific Functions/Activities&nbsp;
 </strong>
 <strong>
  SUMMARY:
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable, reliable AWS-based data architecture
  </li>
  <li>
   <strong>
    Develop and optimize production-grade Python data pipelines
   </strong>
  </li>
  <li>
   <strong>
    Own end-to-end ELT workflows using DBT and Apache Airflow
   </strong>
  </li>
  <li>
   Design, implement, and optimize data models to support analytics and operational reporting
  </li>
  <li>
   Improve platform reliability, observability, and performance across the data stack
  </li>
  <li>
   Contribute to architectural decisions for scalability, security, and cost optimization
  </li>
  <li>
   Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
  </li>
  <li>
   Evaluate and recommend new technologies to evolve MSG's data platform
  </li>
 </ul>
 <strong>
  REQUIRED EXPERIENCE:
 </strong>
 <ul>
  <li>
   <strong>
    4-7 years experience building and maintaining production data pipelines
   </strong>
  </li>
  <li>
   <strong>
    4 years Python development experience (production-grade code)
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with DBT
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with Apache Airflow (or equivalent orchestration tools)
   </strong>
  </li>
  <li>
   Strong SQL and data modeling expertise (dimensional normalized modeling)
  </li>
  <li>
   Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
  </li>
  <li>
   Experience designing scalable data architectures in cloud environments
  </li>
  <li>
   Experience troubleshooting and supporting production systems
  </li>
  <li>
   Strong communication skills and ability to work directly with business stakeholders
  </li>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field
  </li>
 </ul>
 <strong>
  Preferred
 </strong>
 <ul>
  <li>
   Infrastructure as Code (Terraform or CloudFormation)
  </li>
  <li>
   CI/CD and DevOps practices
   <br/>
  </li>
 </ul>
</div>


Senior Data Engineer with DBT and Airflow-Onsite NYC

<div>
 <p>
  <strong>
   Role: Senior Data Analytics Engineer with AI Initiatives (Must)
  </strong>
 </p>
 <p>
  <strong>
   Location: New York/ Remote
  </strong>
 </p>
 <p>
  <strong>
   Experience: 5 - 10 years
  </strong>
 </p>
 <p>
  <strong>
   Duration: Full time
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 </p>
 <p>
  This is a
  <strong>
   hands-on engineering role
  </strong>
  focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines and ETL/ELT workflows
   </strong>
   to ingest and transform data from multiple sources
  </li>
  <li>
   Develop and optimize
   <strong>
    batch and near real-time data processing pipelines
   </strong>
   for analytics and reporting
  </li>
  <li>
   Build and maintain
   <strong>
    data warehouse and data lake structures
   </strong>
   to support business intelligence and analytics use cases
  </li>
  <li>
   Implement and maintain
   <strong>
    data models
   </strong>
   that support efficient querying and reporting
  </li>
  <li>
   Improve performance and scalability of data systems through
   <strong>
    query optimization, indexing, and partitioning strategies
   </strong>
  </li>
  <li>
   Implement
   <strong>
    data quality checks, monitoring, and logging
   </strong>
   to ensure reliability of data pipelines
  </li>
  <li>
   Exposure to
   <strong>
    AI initiatives
   </strong>
   and experience
   <strong>
    building data pipelines
   </strong>
   supporting
   <strong>
    AI workflows
   </strong>
  </li>
  <li>
   Work with data architects and engineering teams to implement
   <strong>
    scalable data platform designs
   </strong>
  </li>
  <li>
   Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
  </li>
  <li>
   Maintain documentation for data pipelines, data models, and data workflows
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5 - 10 years of experience
   </strong>
   in Data Engineering and GenAI and Data Scientist and AI Engineer
  </li>
  <li>
   Strong experience with
   <strong>
    SQL and Python
   </strong>
   for data processing and transformation
  </li>
  <li>
   Experience building and maintaining
   <strong>
    ETL/ELT pipelines
   </strong>
  </li>
  <li>
   Solid understanding of
   <strong>
    data warehousing concepts and dimensional data modeling
   </strong>
  </li>
  <li>
   Experience working with
   <strong>
    cloud data platforms or modern data infrastructure
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    workflow orchestration tools
   </strong>
   such as
   <strong>
    Airflow
   </strong>
   or similar
  </li>
  <li>
   Understanding of
   <strong>
    API-based data ingestion and data integration patterns
   </strong>
  </li>
  <li>
   Strong problem-solving and collaboration skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor's or master's degree in computer science
  <strong>
   , Engineering, Information Systems, or a related field
  </strong>
  , or equivalent practical experience.
 </p>
</div>


AI Data Engineer

<div><p><b>Job Summary:
</b></p><p>The Lead Data Engineer, Tax Product Development, works with the Data Engineering and Integration team to develop and support BDO&rsquo;s Tax Data Warehouse and Tax Data Lake, manage and maintain data ingestion and Extract/Transform/Load (ETL) processes, as well as provide support for the Power BI business intelligence platform and enterprise applications supporting the tax practice.
</p><p>The Lead Data Engineer builds and maintains tax data pipelines to support ad-hoc analytics and business intelligence applications as well as identify valuable development opportunities and ideas for improvement. This role collaborates closely with the data analytics teams to design, develop, and deploy new solutions that support strategic business priorities.
</p><p><b>Job Duties:
</b></p><ul><li>Owns end-to-end delivery of large features and systems, defining technical requirements and architecture for data processing and integration solutions
</li><li>Leads design and implementation of major data structures and pipelines within an Agile team focused on data engineering solutions
</li><li>Designs, develops, and tests data products, pipelines, and solutions using web and cloud technologies for innovative data processing and analytics
</li><li>Applies modern software engineering principles throughout the software lifecycle for data-related applications, including ETL/ELT processes and database systems
</li><li>Reviews business requirements for technical feasibility, and collaborates with various teams, including internal developers and external peers, to deliver quality data integration solutions
</li><li>Mentors junior engineers to enhance code quality and ensure compliance with standards in data pipeline and analytics platform development
</li><li>Maintains data products and platforms based on product roadmaps, production support processes, and compliance with IT, security, and business mandates, ensuring data consistency, integrity, and scalability
</li><li>Effectively communicates with stakeholders and cross functional teams such as technical architects and security teams and others
</li><li>Other duties as required
</li></ul><p><b>Supervisory Responsibilities:
</b></p><ul><li>Acts as a direct supervisor to team members, as assigned
</li><li>Acts as a career advisor, as assigned
</li></ul><p><b>Qualifications, Knowledge, Skills, and Abilities:
</b></p><p><b>Education:
</b></p><ul><li>Bachelor's degree required; focus in Computer Science, Technology, Engineering, Mathematics (STEM), Finance, or Accounting, preferred
</li></ul><p><b>Experience:
</b></p><ul><li>Six (6) or more years of experience in a data engineer or related role, required
</li><li>Hands-on experience architecting, building, and optimizing large-scale relational (e.g., SQL Server, PostgreSQL, Oracle) and non-relational (e.g., CosmosDB, MongoDB, Cassandra, DynamoDB) databases to support both OLTP and OLAP workloads, preferred
</li><li>Experience writing and optimizing complex queries, stored procedures, functions, and triggers using SQL and comparable languages for high-volume transactional systems and analytical platforms, preferred
</li><li>Data Definition Language (DDL) and Data Manipulation Language (DML), with experience developing and maintaining database objects (tables, views, indexes, partitions) at scale, preferred
</li><li>Experience with data modeling principles, including normalization, denormalization, star and snowflake schema design, and semantic layer construction for enterprise data warehouses and data lakes, preferred
</li><li>Experience with design and implement ETL/ELT pipelines using modern data engineering frameworks and tools (e.g., Apache Spark, Databricks, Airflow, Talend, Informatica), preferred
</li><li>Experience implementing data governance, data quality, and data security best practices in large, distributed environments, preferred
</li><li>Tax experience, preferred
</li><li>Public accounting experience, preferred
</li></ul><p><b>License/Certifications:
</b></p><ul><li>Microsoft Azure Data Engineer, preferred
</li></ul><p><b>Software:
</b></p><ul><li>One or more programming languages such as Python, Java, C#, C++, or Scala, with a focus on data engineering applications, required
</li><li>Experience with the following products, preferred:
<ul><li>Microsoft Office Suite
</li><li>Microsoft Azure DevOps or GitHub
</li><li>Microsoft SQL Server and/or Azure SQL DB
</li></ul></li></ul><p><b>Other Knowledge, Skills, &amp; Abilities:
</b></p><ul><li>Ability to work well in hybrid and remote environments
</li><li>Solid verbal and written communication skills
</li><li>Strong interpersonal and customer relationship skills, including training/instruction with professionals at all levels
</li><li>Sound decision-making skills
</li><li>Ability to work in a deadline-driven environment while handling multiple complex projects/tasks simultaneously with a focus on details
</li><li>Capable of successfully multi-tasking while working independently or within a group environment
</li><li>Ability to rely on extensive experience and judgment to plan and accomplish goals
</li><li>Capable of working well under pressure while dealing with unexpected problems in a professional manner
</li>Ability to communicate and interact with all levels of employees and management<br>
<li>
</li></ul><p></p><p>Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate&rsquo;s qualifications, experience, skills, and geography.<br>
</p><p><br>
National Range: $140,000 - $210,000
<br>
Maryland Range: $140,000 - $210,000
<br>
NYC/Long Island/Westchester Range: $140,000 - $210,000</p></div>
<br><div><p>Join us at BDO, where you will find more than a career, you&rsquo;ll find a place where your work is impactful, and you are valued for your individuality. We offer flexibility and opportunities for advancement. Our culture is centered around making meaningful connections, approaching interactions with curiosity, and being true to yourself, all while making a positive difference in the world.
</p><p>At BDO, our purpose of helping people thrive every day is at the heart of everything we do. Together, we are focused on delivering exceptional and sustainable outcomes and value for our people, our clients, and our communities. BDO is proud to be an ESOP company, reflecting a culture that puts people first, by sharing financially in our growth in value with our U.S. team. BDO professionals provide assurance, tax and advisory services for a diverse range of clients across the U.S. and in over 160 countries through our global organization.
</p><p>BDO is the first large accounting and advisory organization to implement an Employee Stock Ownership Plan (ESOP). A qualified retirement plan, the ESOP offers participants a stake in the firm&rsquo;s success through beneficial ownership and a unique opportunity to enhance their financial well-being. The ESOP stands as a compelling addition to our comprehensive compensation and Total Rewards benefits* offerings. The annual allocation to the ESOP is fully funded by BDO through investments in company stock and grants employees the chance to grow their wealth over time as their shares vest and grow in value with the firm&rsquo;s success, with no employee contributions.
</p><p>We are committed to delivering exceptional experiences to middle market leaders by sharing insight-driven perspectives, helping companies take business as usual to better than usual. With industry knowledge and experience, a breadth and depth of resources, and unwavering commitment to quality, we pride ourselves on:
</p><p></p><ul><li>Welcoming diverse perspectives and understanding the experience of our professionals and clients
</li><li>Empowering team members to explore their full potential
</li><li>Our talented team who brings varying skills, knowledge and experience to proactively help our clients navigate an expanding array of complex challenges and opportunities
</li><li>Celebrating ingenuity and innovation to transform our business and help our clients transform theirs
</li><li>Focus on resilience and sustainability to positively impact our people, clients, and communities
</li><li>BDO Total Rewards that encompass so much more than traditional &ldquo;benefits.&rdquo; Click here to find out more!
</li></ul><ul><li>Benefits may be subject to eligibility requirements.
</li></ul><p>Equal Opportunity Employer, including disability/vets
</p><p></p><div><div>Click here to find out more!</div></div></div><div></div>

Lead Data Engineer - Tax Product Development

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, design, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.
 <br/>
 <br/>
 The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As a Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Write well-crafted, well-tested, readable, maintainable code
  </li>
  <li>
   Participate in code reviews to ensure code quality and distribute knowledge
  </li>
  <li>
   Participate in our team on-call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
  </li>
  <li>
   Have the ability to explain the various trade offs made in decisions
  </li>
  <li>
   Manage project priorities, deadlines, and deliverables.
  </li>
  <li>
   Partner with product managers, designers, scientists, and other engineering teams to build complex features and products from idea to positive execution
   <br/>
   <br/>
  </li>
 </ul>
 Experience:
 <br/>
 <br/>
 <ul>
  <li>
   BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
  </li>
  <li>
   Experience with Python, Go.
  </li>
  <li>
   Proficiency in object-oriented programming
  </li>
  <li>
   Experience working with data structures or algorithms
  </li>
  <li>
   Ability to work with a low-ego, highly collaborative, and cross-functional team
  </li>
  <li>
   Bonus points: experience pursuing side projects or open-source projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan with company match to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Monthly Lyft credits and complimentary Lyft Pink membership
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
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 The expected base pay range for this position in the New York City area is $108,000 - $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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Software Engineer, Rider

Ventas, Inc.

<div><h1 class="jobSectionHeader"><b>Job Description:
</b></h1><p>Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
</p><p></p><div>The Data Science team partners across Ventas to translate complex data into actionable insights that support investment, operational, and strategic decisions. Through advanced analytics and predictive modeling, the team helps uncover performance drivers, anticipate future outcomes, and enable stronger, data‑driven decision‑making across our Senior Housing portfolio.
</div><p></p><p><b>About the Role
</b></p><p>The Analyst, Data Science role offers a unique opportunity at an S&amp;P 500 company to apply analytical thinking and technical skills to drive core business outcomes for Ventas&rsquo; Senior Housing portfolio, with direct partnerships with finance, operations, portfolio management, and enterprise strategy. Key responsibilities include:
</p><ul><li>Explore, engineer, and derive analytical features from large, complex datasets to surface meaningful signals and drivers of business performance
</li><li>Perform diagnostic and exploratory analyses to identify correlations, patterns, and relationships across financial, operational, and portfolio‑level data
</li><li>Develop analytical frameworks to understand key business levers and quantify their impact on outcomes such as revenue, occupancy, rate, and mix
</li><li>Build and refine predictive models and scenario analyses to anticipate future performance and support proactive decision‑making
</li><li>Translate ambiguous business questions into well‑structured analytical problems and deliver clear, actionable insights to stakeholders
</li><li>Partner closely with teams across finance, operations, portfolio management, and strategy to align analytics with real‑world business decisions
</li><li>Communicate findings through compelling data visualizations, dashboards, and executive‑ready narratives that drive action
</li><li>Continuously evaluate data quality and model performance, recommending improvements to strengthen analytical rigor and reliability
</li><li>Contribute to the evolution of analytics best practices and serve as a thought partner to colleagues on analytical approaches and interpretation
</li></ul><p></p><p><b>Qualifications
</b></p><ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. Master&rsquo;s degree preferred.
</li><li>2+ years of experience in a related analytical field (data analytics, data science, consulting, or similar), with demonstrated experience solving complex, ambiguous problems using data.
</li><li>Must be located in the New York City, NY surrounding area willing to relocate for the duration of employment.
</li><li>Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
</li><li><div>Proficiency in SQL and Python required.
</div></li><li>Experience translating ambiguous business questions to analytical problems
</li><li>Strong analytical, problem‑solving, and communication skills with the ability to explain complex information clearly.
</li><li>Ability to manage multiple priorities in a fast‑paced, collaborative, and lean environment.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
</li></ul><p></p><p><i>The estimated base salary range for this position is $80,000 &ndash; $105,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
</i></p><p></p><p><i>In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
</i></p><p></p><p><i>#LI-MB1
</i></p><p><i>#LI-Hybrid
</i></p><p></p><p>Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
</p><p></p><p>Ventas, Inc. is an Equal Opportunity Employer.
</p><p></p><p>Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.</p></div>

Analyst, Data Science

Locality

<div><p>Locality is seeking a Senior Data Engineer whom will serve as the primary internal owner of our Audience Engine, spanning data ingestion, identity resolution, automation, and AI enablement. This role emphasizes hands on platform stewardship today, with a clear path to supporting future expansion of the HH Identity Graph and applied AI use cases.
</p><ul><li>Establish and own technical management of the Audience Engine, transitioning knowledge from external partners and building a scalable, internally managed data platform</li><li>
Reduce reliance on third-party vendors while maintaining high standards for platform reliability, uptime, and data integrity across all pipelines and integrations</li>
Architect, own, and continuously optimize Databricks Bronze Silver<li> Gold pipelines to support large scale audience ingestion, enrichment, and activation workflows</li><li>
Ensure the platform is scalable and cost efficient through effective pipeline optimization and resource management</li><li>
Proactively monitor, troubleshoot, and resolve ingestion failures, schema drift, and data quality issues across batch and near real time data pipelines</li><li>
Lead identity resolution across datasets including HHID, DSID, MAID, IP, and campaign logs, improving matching logic to strengthen the Household Identity Graph</li><li>
Guarantee accurate and timely audience publication by maintaining robust downstream data delivery processes and SLAs across activation platforms and partners</li><li>
Own and maintain integrations with external data and activation partners (e.g., Experian, FreeWheel, DSPs), ensuring seamless data exchange and operational reliability</li><li>
Partner cross functionally with Product, Analytics, and Ad Operations teams to onboard new data sources and activation endpoints, enabling new use cases and revenue opportunities</li><li>
Support and operationalize applied AI/ML workflows within Databricks, including integration with tools like Akkio, and translate business needs into production-ready data features and datasets</li><li>
Design and implement scalable data models and query-ready datasets that power BI reporting, audience insights, and predictive modeling, ensuring alignment with downstream analytics requirements</li><li>
Enforce data governance, lineage, and documentation standards while ensuring compliance with privacy, consent, and data usage regulations across all audience and identity data systems</li></ul><ul><li>
6+ years of experience as a Data Engineer or Data Platform Engineer, ideally within advertising</li><li>
Strong hands on experience with Databricks, Spark, and modern cloud data platforms</li><li>
Proven experience designing and maintaining multi-layered data architectures (Bronze / Silver / Gold)</li><li>
Deep expertise in SQL and proficiency in Python or another scripting language</li><li>
Experience working with identity graphs, audience data, and complex join logic across large datasets</li><li>
Hands on experience building and managing automated data pipelines and third-party data integrations</li><li>
Familiarity with adtech, martech, or audience activation platforms, including exposure to identity providers such as Experian or similar vendors</li><li>
Practical experience supporting AI/ML workflows or AI-enabled analytics, with an understanding of data quality, schema design, and performance optimization in cloud-scale environments</li></ul><p>
</p><p><i>Compensation for the role includes a competitive base salary in the range from $75-$100/hr (dependent on years of experience, level of education obtained, as well as applicable skillset), and an excellent benefits package (including but not limited to health care benefits, retirement benefits and paid days off).
</i></p><p></p><p><i>At Locality, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Locality values and solicits applications from all qualified candidates without regard to actual or perceived race, creed, color, religion, sex, gender, age, physical or mental disability, medical condition, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, military or veteran status, genetic information, or any other basis protected by federal, state, or local law.</i></p></div>

Sr. Data Engineer (Contract to Perm)

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