Engine
Senior Analytics Engineer
Job Summary
The Senior Analytics Engineer at Engine is responsible for developing tools and strategies to enhance data quality, reliability, and governance. They collaborate with engineering, analytics, and business teams to build and optimize data pipelines, supporting business growth and decision-making. The role requires expertise in SQL, Snowflake, Airflow, BI tools, and related data infrastructure technologies. The position emphasizes innovation, effective communication, and adaptability within a fast-paced, high-growth environment.
Required Skills
Benefits
Job Description
Join Our Journey at Engine
At Engine, we’re revolutionizing work travel. Our modern travel platform isn’t just about booking trips; it’s about transforming how businesses and their teams experience travel. From seamless booking options with top airlines, hotels, and car rental providers to single-invoice billing and flexible trip modifications, we make travel not only easier to manage but also enjoyable. Backed by powerhouse investors like Telescope Partners, Blackstone, Elefund, and Permira, we’re growing fast—and we want you to be part of it.
Your Mission: As a Senior Analytics Engineer at Engine, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of:
- Develop and implement tools and strategies to improve the data quality, reliability, and governance at Engine.
- Collaborate with engineering, analytics, and business stakeholders to ensure high quality data empowers every business decision to drive measurable business impact.
- Enhance data infrastructure and analytics capabilities by working closely with our data infrastructure and analyst teams.
- Design and build our data pipelines to support long term business growth without compromising on our day to day execution speed.
What You’ll Bring to Engine: We’re looking for someone who’s ready to make an impact and grow alongside us:
- Experience: 5+ years of industry experience as an Analytics Engineer in high-growth environments.
- Technical Skills: Strong expertise using SQL, Snowflake, Airflow, and BI tools such as Looker.
- Education: A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience
- Problem-Solving Mindset: A bias toward simple, effective solutions before diving into complex approaches.
- Communication Skills: Ability to present ideas to engineering, data team, and product stakeholders.
- Adaptability: Thrive in a fast-paced, dynamic environment with a willingness to take initiative and drive meaningful impact.
Tech We Use:
- SQL and Python for data operations
- ETL tools and data warehousing solutions such as dbt and Snowflake
- Version Control Systems like Git/GitHub
- Dashboarding tools such as Looker
- Infrastructure and deployment tools including AWS and Docker
- Monitoring and observability tools such as DataDog and Sentry
The Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:
- Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
- Benefits: Check out our full list at engine.com/culture.
- Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.
Perks and benefits may vary based on employment type, location, and more.
Ready to Build the Future of Work Travel?
Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.
Engine
Business travel, simplified. Access 750,000+ hotels at exclusive rates (average 26% savings) with no agent-assist fees or contracts. Sign up for our hotel Engine today!
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.