Data Platform Engineer:
Elevator Pitch:
Philo is a reinvented television streaming service building the future of television. They are headquartered in San Francisco, but have offices in NYC and Cambridge, MA as well. Philo's CEO, Andrew McCollum, is actually a co-founder of Facebook with Mark Zuckerberg - basically, Philo is working to reinvent the television experience for the modern age, and create an amazing experience for their users to watch the shows they love.
Today, Philo offers a package of top-rated television channels for just $25 a month. You can watch live, save unlimited shows to watch later, or browse their huge library of content available on-demand. Their services can be streamed across all devices and the web.
Selling Points: Great work environment and culture, great benefits, and LOTS of backing from huge organizations like Discovery, Viacom, AMC, A&E, and HBO.
Location: Cambridge, MA, NYC, and San Fran (all remote right now but must be willing to come in for Hybrid work eventually)
Salary: 5-8 years of experience up to 175K, 8-10 years of experience up to 200K + 20-30K in Equity (sell how much equity will be worth)
Bonus: Equity
401K Match: n/a
*Can transfer sponsorship if candidate has H1V and eventually get them a Green Card if they are there a few years to keep them there. Just cannot directly start a new sponsorship themselves.
Benefits:
Full health, dental and vision coverage for you and your family

Flexible working hours

Generous paid parental leave

Unlimited paid time off for vacation and sick leave

$2000 annual vacation bonus (we pay you to take a two week vacation)

$5000 annually for professional development and educational assistance

$500 "TV stipend” for new employees to upgrade their home watching setup

Dog-friendly office

Position summary:
You will be collaborating with a growing team of Data Scientists and Analysts. As the Data Platform Engineer you will be responsible for architecting their next generation data processing applications and reporting systems.
In this role, you will have the opportunity to build wholly new systems and services. They have some of the foundational elements in place for a modern data stack (Redshift, dbt, Segment, Kubernetes, Docker, Airbyte, Mode) and an active data science practice. They are looking for someone who can determine the next phase of the roadmap for the data platform and to build it -- for example: when to use a different orchestration tool, and when to be less dependent on (3rd party) libraries for client app event tracking.
They are looking to invest in ensuring that the core infrastructure (on which all of their research depends) is scalable, tested, robust, and able to evolve to meet their constantly changing data science needs.
They are looking for an engineer who enjoys being product-minded in the sense that they own a product from beginning to end by designing, constructing, integrating, testing, documenting, and supporting their creations.
Requirements:
5+ years of experience as a Data Engineer

Highly proficient in at least one of these languages: Python, Ruby, and/or GoLang

Experience working with Data Pipelines in a Cloud native environment (preferably AWS)

Experience writing, testing, shipping, and maintaining clean production code within a collaborative and version-controlled (git) codebase

Experience improving data processing CI/CD practices

Interview Process:   First Round: 1 hour with Max (Talent Acquisition Manager) 30 mins with Scott (Head of Data)
Second Round: Take home exercise they will send to Max directly via private Slack
Third Round: 4 1-hour meetings in one day
Final: Follow up with Scott and CTO for 1-hour

#J-18808-Ljbffr

Our not-so-secret sauce.
Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 11,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Data Platform Engineering Manager at Marsh McLennan Agency (MMA).
MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).
A day in the life.
As our Data Platform Engineering Manager on the Data Platform Engineering team, you’ll provide strategic direction and leadership to the team, overseeing the implementation of strategies designed to enhance data reliability and minimize redundancies. You will direct the development and operation of MMA’s data platform, ensuring it is scalable, reliable, and secure. You’ll establish KPIs and metrics to measure engineering performance and productivity, define and execute the data platform roadmap, and design robust, scalable data platforms to support various business applications and analytics.
Our future colleague.
We’d love to meet you if your professional track record includes these skills:
15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses.
Over 10 years of experience building large-scale data analytics platforms using real-time streaming analytics, data warehouses, data lakes, Data Pipelines, ETL processes, and business intelligence tools at scale.
5 to 7 years of experience in Cloud database technologies.
Hands-on experience architecting and building secure, scalable, and flexible enterprise data projects in Microsoft Azure.
Strong interpersonal skills, capable of delivering executive-level presentations.
These additional qualifications are a plus, but not required to apply:
Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point is a major plus.
We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.
Valuable benefits.
We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work.
Some benefits included in this role are:
Generous time off, including personal and volunteering
Tuition reimbursement and professional development opportunities
Remote work
Charitable contribution match programs
Stock purchase opportunities
To learn more about a career at MMA, check us out online:  marshmma.com/careers  or flip through our recruiting brochure:  recruiting brochure .
Follow us on social media to meet our colleagues and see what makes us tick:
Instagram
Facebook
Twitter
LinkedIn
The applicable base salary range for this role is $142,400 to $213,600. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.
We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings, and other wellbeing programs as well as employee assistance programs.
Applications will be accepted until: 1/1/2025
Who you are is who we are.
We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.
Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

#J-18808-Ljbffr

Data Platform Engineer: Elevator Pitch: Philo is a reinvented television streaming service building the future of television. They are headquartered in San Francisco, but have offices in NYC and Cambridge, MA as well. Philo's CEO, Andrew McCollum, is actually a co-founder of Facebook with Mark Zuckerberg - basically, Philo is working to reinvent the television experience for the modern age, and create an amazing experience for their users to watch the shows they love. Today, Philo offers a package of top-rated television channels for just $25 a month. You can watch live, save unlimited shows to watch later, or browse their huge library of content available on-demand. Their services can be streamed across all devices and the web. Selling Points: Great work environment and culture, great benefits, and LOTS of backing from huge organizations like Discovery, Viacom, AMC, A&E, and HBO. Location: Cambridge, MA, NYC, and San Fran (all remote right now but must be willing to come in for Hybrid work eventually) Salary: 5-8 years of experience up to 175K, 8-10 years of experience up to 200K + 20-30K in Equity (sell how much equity will be worth) Bonus: Equity 401K Match: n/a *Can transfer sponsorship if candidate has H1V and eventually get them a Green Card if they are there a few years to keep them there. Just cannot directly start a new sponsorship themselves. Benefits: <ul><li>Full health, dental and vision coverage for you and your family </li><li>Flexible working hours </li><li>Generous paid parental leave </li><li>Unlimited paid time off for vacation and sick leave </li><li>$2000 annual vacation bonus (we pay you to take a two week vacation) </li><li>$5000 annually for professional development and educational assistance </li><li>$500 "TV stipend” for new employees to upgrade their home watching setup </li><li>Dog-friendly office </li> </ul>Position summary: You will be collaborating with a growing team of Data Scientists and Analysts. As the Data Platform Engineer you will be responsible for architecting their next generation data processing applications and reporting systems. In this role, you will have the opportunity to build wholly new systems and services. They have some of the foundational elements in place for a modern data stack (Redshift, dbt, Segment, Kubernetes, Docker, Airbyte, Mode) and an active data science practice. They are looking for someone who can determine the next phase of the roadmap for the data platform and to build it -- for example: when to use a different orchestration tool, and when to be less dependent on (3rd party) libraries for client app event tracking. They are looking to invest in ensuring that the core infrastructure (on which all of their research depends) is scalable, tested, robust, and able to evolve to meet their constantly changing data science needs. They are looking for an engineer who enjoys being product-minded in the sense that they own a product from beginning to end by designing, constructing, integrating, testing, documenting, and supporting their creations. Requirements: <ul><li>5+ years of experience as a Data Engineer </li><li>Highly proficient in at least one of these languages: Python, Ruby, and/or GoLang </li><li>Experience working with Data Pipelines in a Cloud native environment (preferably AWS) </li><li>Experience writing, testing, shipping, and maintaining clean production code within a collaborative and version-controlled (git) codebase </li><li>Experience improving data processing CI/CD practices </li> </ul>Interview Process: <ul><li>First Round: 1 hour with Max (Talent Acquisition Manager) 30 mins with Scott (Head of Data) </li><li>Second Round: Take home exercise they will send to Max directly via private Slack </li><li>Third Round: 4 1-hour meetings in one day </li><li>Final: Follow up with Scott and CTO for 1-hour </li> </ul>#J-18808-Ljbffr

Figure Markets is democratizing finance through blockchain. We’re building the exchange for everything - a decentralized custody marketplace for crypto, stocks, bonds, credit and more. We’re bringing best in class leverage, margining and liquidity to our exchange, while offering our members extensive borrowing options and unique investment opportunities.Figure Markets is built on the Provenance Blockchain, and we use its native token, Hash, on the exchange. Provenance Blockchain embodies truth over trust and provides a foundation for Figure Markets to bring transparency and efficiency in a decentralized world.Figure Markets is backed by leading venture capital firms and strategic partners, including Jump Crypto, Pantera, Distributed Global, Faction Lightspeed, NewForm Capital and CMT Digital. Figure Markets was founded by a seasoned team of entrepreneurs and operators from tradfi, fintech and defi, including Mike Cagney and June Ou.About the RoleWe’re looking for an experienced and independent data platform engineer to design and build our data architecture. As part of our Engineering team, you’ll work closely with various business functions to understand Figure Markets’ analytic, data science, and reporting needs and to develop data products that address those needs. You will be contributing to data engineering’s vision and development from day one, and, as an early member of the team, you’ll get to shape the data architecture that will drive a fast-growing business.What You’ll Do<ul><li>Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines.</li><li>Expand and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.</li><li>Collaborate with project leads and other software engineers across multiple teams.</li><li>Be a leader, use your voice, and apply your tech skills to solve real world problems.</li></ul>What We Look For<ul><li>BS degree in Computer Science or related technical field, or equivalent practical experience.</li><li>6+ years of proven working experience as a data engineer</li><li>5+ years writing production-quality Python.</li><li>3+ years’ experience with Spark, either in Python or in Scala. Bonus points for Spark on EMR, Dataproc, or Kubernetes.</li><li>Working knowledge of Google Cloud tools (compute, cloud storage, GKE, GCR, AutoML, etc.)</li><li>Expertise building and optimizing data pipelines using Kafka (preferred), Kinesis, or other event bus.</li><li>Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.</li><li>Comfort with and experience working within CI/CD processes and tools and software development practices.</li><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL and NoSQL databases, including BigQuery (preferable), MySQL/MariaDB, Postgres or Cassandra.</li><li>Expertise in data modeling for data science, reporting, and analytics, including dimensional and transactional models.</li><li>Ability to thrive in a fast-paced growing company.</li></ul>Benefits and Perks<ul><li>Competitive salary and growth opportunities</li><li>Company quarterly performance based bonus</li><li>Equity stock options package</li><li>Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents</li><li>Employer funded life and disability insurance coverage</li><li>Company HSA, FSA, Dependent Care, 401k, and commuter benefits</li><li>Up to 12 weeks paid family leave</li><li>In office, remote, and hybrid work location options</li><li>Home office and technology stipend for those working outside of a traditional office more than 75% of the time</li><li>Flexible time-off plan to empower employees to take the time off that they want and need</li><li>Continuing education reimbursement</li></ul>For CO, NY, CA and WA residents, the salary range for this position is $102,960 to $128,700/year with a 25% Bonus Target and Equity. Actual compensation may vary based on individual candidate experience and location.Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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ClassDojo's goal is to give every child on Earth an education they love.We started by building a powerful network for communication. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families globally. Teachers use it to share what’s happening throughout the day through photos, videos, and messages that make parents feel like they’re there. It’s actively used in over 95% of US schools, reaching over 50 million children in 180 countries, with a team of just around 200 people. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with experience in education and large scale consumer internet companies, including Instagram, Netflix, Dropbox, Stripe, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.<h3>What you’ll do:</h3>We are seeking a Data Platform engineer to join our Data and Engineering team. The ideal candidate will possess a passion for education and a strong foundation in all aspects of data engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company.<h3>You will be a match if:</h3>You have 7+ years experience with data / analytics engineering.<h3>Collaboration and Communication:</h3><ul><li>You have owned large-scale data projects that drove significant impact across the company.</li><li>You enjoy collaborating with and supporting others.</li><li>You are an effective partner with engineering, data analysts, data scientists, and other business stakeholders.</li><li>You have an ownership mindset and can make things happen.</li></ul><h3>Technical Excellence:</h3><ul><li>You're a strong independent contributor who's comfortable working across the data stack.</li><li>You've designed and built data platforms at previous organizations.</li><li>Your SQL, python, and infrastructure skills are top-notch.</li></ul>ClassDojo is an equal employment opportunity (EEO) employer. We are committed to equal employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. In accordance with the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are happy to accommodate any disabilities or special needs. We are a distributed company, so we hire regardless of location, as long as you are willing to have significant hours overlap with one of the Americas time zones.ClassDojo takes a number of factors into consideration when determining compensation, including geographic location, experience, and skillset. Salary ranges (United States): CA, WA, NY, NJ, CT states: $171,500 - $244,000 (USD) All other states in the US: $146,000 - $207,500 (USD)#LI-Remote
#J-18808-Ljbffr

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 11,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Data Platform Engineering Manager at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As our Data Platform Engineering Manager on the Data Platform Engineering team, you’ll provide strategic direction and leadership to the team, overseeing the implementation of strategies designed to enhance data reliability and minimize redundancies. You will direct the development and operation of MMA’s data platform, ensuring it is scalable, reliable, and secure. You’ll establish KPIs and metrics to measure engineering performance and productivity, define and execute the data platform roadmap, and design robust, scalable data platforms to support various business applications and analytics. Our future colleague. We’d love to meet you if your professional track record includes these skills: <ul><li>15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses. </li><li>Over 10 years of experience building large-scale data analytics platforms using real-time streaming analytics, data warehouses, data lakes, Data Pipelines, ETL processes, and business intelligence tools at scale. </li><li>5 to 7 years of experience in Cloud database technologies. </li><li>Hands-on experience architecting and building secure, scalable, and flexible enterprise data projects in Microsoft Azure. </li><li>Strong interpersonal skills, capable of delivering executive-level presentations. </li> </ul>These additional qualifications are a plus, but not required to apply: <ul><li>Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point is a major plus. </li> </ul>We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: <ul><li>Generous time off, including personal and volunteering </li><li>Tuition reimbursement and professional development opportunities </li><li>Remote work </li><li>Charitable contribution match programs </li><li>Stock purchase opportunities </li> </ul>To learn more about a career at MMA, check us out online: <a >marshmma.com/careers </a> or flip through our recruiting brochure: <a >recruiting brochure </a>. Follow us on social media to meet our colleagues and see what makes us tick: <ul><li><a >Instagram </a> </li><li><a >Facebook </a> </li><li><a >Twitter </a> </li><li><a >LinkedIn </a> </li> </ul>The applicable base salary range for this role is $142,400 to $213,600. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings, and other wellbeing programs as well as employee assistance programs. Applications will be accepted until: 1/1/2025 Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #J-18808-Ljbffr

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Data Platform Engineer Jobs in San Francisco, CA

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