Senior Data Engineer

Click the 'Apply' button to learn more about Earnest and the role. Then, you can choose to apply directly with Earnest or use AI to assist your application powered by Offered.Earnest’s mission is to make higher education accessible and affordable for everyone. We empower past, present, and soon-to-be students to maximize their financial futures through thoughtful guidance and impactful products.We build tools that help people feel in control of their financial future, includingPrivate student loans - low rates, people-first service, and flexible payments.Student loan refinancing - break free from high interest rates or monthly payments.Scholarships - access to thousands of scholarships to help students pay less.The Senior Data Engineer position will report to the Manager of Data Platforms & Analytics Engineering.As the Senior Data Engineer, you willCollaborate closely with senior leadership to strategize and implement sustainable data architecture initiativesProvide technical leadership by guiding the team in selecting appropriate technologies, tools, and languages to address technical and business challengesDesign and implement tooling and abstraction patterns for orchestrating transformations in ELT processes, utilizing technologies such as Airflow and DBTSet up and maintain data infrastructure using Ansible and Terraform, implementing monitoring and logging solutions to ensure system reliability and performanceCollaborate closely with analytics engineers and data analysts to provide support in building and optimizing data pipelines for analytics and reporting purposesFacilitate cross-functional requirements gathering sessions with engineering, product management, analytics, and data science teams to understand and address data needsCreate and maintain detailed documentation for data engineering processes, including data ingestion, transformation, and storage, to ensure clarity and transparency within the team and across stakeholdersYour ImpactStrategizes with senior leadership to implement sustainable data architecture initiatives, aligning with organizational goals.Guides team in selecting technologies to address technical and business challenges, providing technical leadership.Ensures data reliability and quality by ingesting diverse data sources, orchestrating transformations, and maintaining robust infrastructure for optimized analytics pipelines.About You5+ years of experience in building and managing data pipelines, data warehouses (e.g. Snowflake), and backend services3+ years of experience with Python3+ years with OLTP databases such as Postgresql, MySQL3+ years with OLAP databases such as Snowflake, BigQuery, Redshift3+ years with AWS cloud technologies such as S3, EC2, etc.2+ years experience with orchestration tools such as Airflow (preferred), Microsoft Azure, etc.2+ years working with container technologies such as Docker, KubernetesExperience with server-side concepts (e.g. microservices, database, caching, performance, monitoring and scalability)Familiarity with data governance best practicesEven BetterDBT experienceBusiness Intelligence tools such as Tableau, Looker, Qlik, etc.Domain experience developing software for Fintech, Banking, or related Consumer Financial Services companiesAbout UsWhat makes an “Earnie” cultureDrivers – Drivers are satisfied by making things happen, not coming along for the ride. They feel a strong sense of ownership for their projects and teams and demand high standards from themselves and others.Humility – Humble team players check their egos and consider the team’s needs above their own. They are self-aware of their strengths and opportunities for improvement.Growth Mindset – People with a growth mindset approach challenges and failures as learning opportunities. They seek feedback to improve, give feedback to others, and genuinely want to perform well.Earnies are committed to helping students live their best lives, free from the stress of student debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together!Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, includingHealth, Dental, & Vision benefits plus savings plansWork anywhere in the U.S.Mac computers + work from home stipend to set up your home officeMonthly internet and phone reimbursementEmployee Stock Purchase PlanRSUs401(k) plan to help you save for retirement plus a company matchRobust tuition reimbursement program$1,000 travel perk on each Earnie-versary to anywhere in the worldCompetitive days of annual PTOAnnual “my day”Pet insurance!Competitive parental leavePlenty of Earnest swag, optional in person team gatherings, picnics, celebrations, and plenty of fun virtual eventsAt Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.A little about our pay philosophy We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary, determined primarily based on a candidate’s location. Earnest takes a market-based approach, categorizing U.S. locations into one of five zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will also be determined based on job-related qualifications, internal compensation, and budget. This range may be modified in the future.Pay Range$137,000—$171,000 USD

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