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Senior Analytics Engineer

Brooklyn Data Co. LogoBrooklyn Data Co.
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Brooklyn Data Company is hiring across all timezones and continents. We are fully remote and distributed, which means we can collaborate from wherever works best for each team member. With staff and clients from Los Angeles to Lagos, South America to Central Europe, we currently operate across 9 time zones (Central European Time to US Pacific Standard Time)... and growing!

About Us

Brooklyn Data Company is crafting a place where data people love to work. We are thought leaders working towards meaningful, sustainable growth as individuals, as an organization, and as analytics partners with our clients.

At BDC, we’re building an environment where people of all identities, experiences, and backgrounds can thrive and learn. As an equal opportunity employer, that means firmly committing to diversity, equity, and inclusion in our hiring efforts as well as with our clients and partners. Internally, we promote work-life balance as integral to our people-first approach because we know that the best outcomes for our clients come from investing in our team members and meeting them where they are.

To maintain our commitment to the full inclusion of all qualified individuals, please let us know if reasonable accommodation is needed to participate in our job application or interview process by emailing us at PeopleOps@BrooklynData.co.

What we’re looking for

Whether you’ve had a role like data warehouse engineer, ETL developer, data analyst, or analytics consultant, we’re seeking folks with mid- to senior-level experience thinking critically about how data can be transformed to best support and inform organizational needs and culture. For this opening, we specifically need analytics engineers with substantive experience using dbt.

Because our clients are mostly US-based, we look for the ability to communicate with professional proficiency in English, verbally and in writing.

We’d love to hear from you if…

…You’re the kind of person who

  • Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive
  • Embraces an environment where you’ll be exposed to a variety of companies, business challenges, and tools / software
  • Thrives or would thrive in a remote-first, distributed work environment
  • Appreciates thinking about the “why” in addition to the “how"

…You’ve done some of these things

  • Set up or run infrastructure needed to orchestrate data pipelines
  • Used SQL to write complex queries that join data across multiple systems
  • Used distributed source control such as Git proficiently
  • Used dbt to transform data in their warehouses more effectively (required)
  • Worked collaboratively with cross-functional teams and stakeholders to achieve a goal
  • Worked in a consulting, SaaS, or e-commerce company
  • Provided technical mentorship
  • Worked in an agile environment
  • Worked in a remote environment

Things you might do at Brooklyn Data

  • Build tables in SQL using dbt
  • Configure a data warehouse or data ingestion tool
  • Advise a client on the pros and cons of one data warehouse platform over another
  • Review a teammate or client’s code for accuracy, DRYness, and style
  • Construct a report off of tables you’ve built to address a client’s need

What it’s like working at Brooklyn Data

We’re at an exciting time in our company’s history: in just a few years, we've already made a name for ourselves and are scaling to match demand.

That means we have an expanding client base, growing partnerships, and are consistently profitable. We continue to enthusiastically craft a culture that’s inclusive, career-minded, and action-oriented. We welcome feedback and input on everything from hiring to onboarding to project management practices. We hold each other to practicing our company values, to finding ways to strengthen the areas we each need to grow in, and to finding ways to take care of each other throughout.

You can expect to hone your technical skills and business acumen with opportunities on a variety of client engagements, by making open-source contributions to the data community, and by contributing to our pro-bono efforts. You’ll sharpen your focus on useful, small iterations of work and steward our planning and prioritizing systems to make sure everything the team stays the course throughout this period of growth. You’ll be able to share the things you’re really good at, learn from each of your coworkers, and have space for all the great things you love doing outside of work, too.

What to expect from the screening process

  1. Kick-start questions: Your answers to the application questions will help us understand how your experience and interests map to what we need to grow the team. Note: we don't review resumes or CVs, so no need to update or upload yours.
  2. Intro Chat: You’ll speak to a manager about your background and interests and get a chance to learn more about Brooklyn Data.
  3. Technical Exercise: Work on problems that reflect the job - you’ll submit your responses to a set of exercises designed to reflect the technical and communication skills you’ll need on the job. We hope it both gives us a sense of your skills and you a sense of day-to-day work at Brooklyn Data. We’ll pay you a stipend for your time so that the time (about 4 hours worth) doesn’t create an unfair barrier for any applicants.
  4. Team Interview: Chat with your potential future co-workers by phone or Zoom- you’ll chat for about an hour with a few of the people with whom you’ll be working. We'll share our key questions in advance, because we want to level the introvert / extrovert playing ground, to have you as much at ease as possible, and to make the best possible use of our time together. You’ll also have some time to ask questions of the team.
  5. References: We'll ask to speak to two or three people who can speak to your work.
  6. Our decision: If you’re selected, we’ll make an offer and open the avenues for communication with our team members to support you in making your decision. If you’re not selected in the current round, we promise to give you some context as to why not, if you’d find that useful. Keep in mind that we’re growing, and we expect there to be many future opportunities!

Note that our clients are mostly US-based, and so we look for the ability to communicate with clarity in English, verbally and in writing.

Compensation & Benefits

Compensation (US)

  • Senior Analytics Engineer I, $132,897
  • Senior Analytics Engineer II, $144,453
  • Senior Analytics Engineer III, $156,009

Compensation (El Salvador)

  • Senior analytics engineer I | $75,285
  • Senior analytics engineer II | $81,832
  • Senior analytics engineer III | $88,378

  • Compensation totals are for US and El Salvador based team members. Depending on specific location, non-US-based team members are hired as full-time contractors and receive a salary adjusted for cost of living in their location. We've developed an international calculator using real time data from Numbeo to adjust for the cost of living index in each country.

Benefits

  • 100%% premium-covered healthcare + dental + vision coverage for you (and partner or family!)
  • 401(k) with 3%% company contribution
  • Life, AD&D, and long-term disability insurance
  • Paid parental leave (12 weeks birthing parent, 6 weeks non-birthing parent)
  • 18 days paid time off, holidays (including a week off in December), and 2 floating holidays
  • $1500 equipment and office setup allowance
  • $1500 annual education allowance

For non-US-based team members: In lieu of employer-provided benefits, Brooklyn Data provides additional compensation to support health insurance, accounting, as well as an equivalent retirement contribution. All team members are eligible for parental leave, PTO, holidays, education allowance, and equipment and office setup allowance.

About Brooklyn Data Co.

Brooklyn Data provides the technical skills, experience, and leadership to deliver best-in-class data capabilities. That means we act as an extension of your organization–collaborating in real-time with your data team and stakeholders, flexing to provide support in the areas you need most.