Senior Data Engineer – Remote, US at Navient in Boise, Idaho, United States Job Description 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, including: + Private 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 will: + Collaborate closely with senior leadership to strategize and implement sustainable data architecture initiatives + Provide technical leadership by guiding the team in selecting appropriate technologies, tools, and languages to address technical and business challenges + Design and implement tooling and abstraction patterns for orchestrating transformations in ELT processes, utilizing technologies such as Airflow and DBT + Set up and maintain data infrastructure using Ansible and Terraform, implementing monitoring and logging solutions to ensure system reliability and performance + Collaborate closely with analytics engineers and data analysts to provide support in building and optimizing data pipelines for analytics and reporting purposes + Facilitate cross-functional requirements gathering sessions with engineering, product management, analytics, and data science teams to understand and address data needs + Create and maintain detailed documentation for data engineering processes, including data ingestion, transformation, and storage, to ensure clarity and transparency within the team and across stakeholders Your Impact: + Strategizes 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 You: + 5+ years of experience in building and managing data pipelines, data warehouses (e.g. Snowflake), and backend services + 3+ years of experience with Python + 3+ years with OLTP databases such as Postgresql, MySQL + 3+ years with OLAP databases such as Snowflake, BigQuery, Redshift + 3+ 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, Kubernetes + Experience with server-side concepts (e.g. microservices, database, caching, performance, monitoring and scalability) + Familiarity with data governance best practices Even Better: + DBT experience + Business Intelligence tools such as Tableau, Looker, Qlik, etc. + Domain experience developing software for Fintech, Banking, or related Consumer Financial Services companies About Us: What makes an ‘Earnie’ culture: + Drivers – 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, including: + Health, Dental, & Vision benefits plus savings plans + Work anywhere in the U.S. + Mac computers + work from home stipend to set up your home office + Monthly internet and phone reimbursement + Employee Stock Purchase Plan + RSUs + 401(k) plan to help you save for retirement plus a company match + Robust tuition reimbursement program + $1,000 travel perk on each Earnie-versary to anywhere in the world + Competitive days of annual PTO + Annual ‘my day’ + Pet insurance + Competitive parental leave + Plenty of Earnest swag, optional in person team gatherings, picnics, celebrations, and plenty of fun virtual events At 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. #LI-NS1 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 To view full details and how to apply, please login or create a Job Seeker account
PostgreSQL caching Tableau Terraform Amazon Web Services (AWS) Databases performance Data Engineering Azure scalability snowflake-cloud-data-platform remote work Looker Docker data governance Airflow microservices MySQL Banking industry DBT OLAP amazon-s3 Python Amazon Redshift Qlik OLTP Fintech Kubernetes monitoring google-bigquery Ansible amazon-ec2