Senior Data Engineer

Octane Lending New York , NY 10001

Posted 1 week ago

Founded in 2014, Octane Lending is a fintech startup with the vision of making consumer financing as painless as cash. Serving the $60B consumer powersports and agricultural vehicle spaces (motorcycle, ATV, tractor, mower etc.), our technology powers transactions in over 2000 dealerships across the country. Less than two years after launch, our platform has generated over $1bn in loan requests and enabled thousands of customers to buy their dream products. We have raised $42M in venture capital from leading investors such as IA Ventures, Valar Ventures, and Contour Venture Partners and closed $145M in debt capital.

Octane Lending is currently hiring for a Lead Data Engineer to focus on facilitating our company's data needs. Data is the fuel that we use to drive decisions for the company. From informing credit policy to creating product enhancements to updating servicing protocols, availability and accessibility of data is critical. As a lead data engineer, you will lead a team to architect a data infrastructure that is stable and scalable to support data analytics, reporting, and visualization. Your input and contribution will have direct impact on our future data strategy and our technology roadmap.

RESPONSIBILITIES

  • Collaborate with stakeholders, product, and the engineering team to define a strategy to expose a variety of data sources into a centralized data warehouse capable of supporting analytics, reporting, and visualization.
  • Build and manage ETL processing that is efficient, scalable, and performant.
  • Work closely with engineering, data science, and business stakeholders to identify and provide impactful solutions to their data needs.
  • Mentor, inspire, and lead a high-functioning team that delivers in an agile environment.
  • Develop and evangelize exceptional engineering and organizational practices.
  • Grow a healthy, collaborative engineering culture.

Requirements

  • BS/MS in Computer Science or equivalent field
  • 5+ years experience working in software engineering and big data
  • Extensive knowledge of ETL processing, data pipelines, and data warehouses
  • Extensive experience with SQL and relational databases
  • Working knowledge of Non-relational databases.
  • Proficiency with programming languages such as Python, Java, or Scala
  • Familiarity with data processing technologies such as Spark.
  • Experience building and scaling data platforms
  • Experience growing a team and leading people
  • Excellent communication skills

Benefits

  • Competitive base salary and equity
  • Rich health, vision and dental benefits
  • Life and disability insurance policies
  • Transit reimbursement
  • FSA account
  • Flexible work hours and remote friendly environment
  • 15 days PTO
icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Senior Data Engineer

Andiamo

Posted 5 days ago

VIEW JOBS 3/15/2019 12:00:00 AM 2019-06-13T00:00 The Center for Data Science and Analytics is the innovative corporate Analytics group. We are a rapidly growing entrepreneurial department, which aims to design, create and offer innovative data-driven solutions for many parts of the enterprise. We are aided by existing business with a large market share in individual life insurance. We have the freedom to explore external data sources and new statistical techniques, and are excited about delivering a whole new generation of Analytical solutions. In fact, we are designing and will build one of the first multivariate model-based continuous risk differentiations in the industry. This model will incorporate current underwriting best practices (including medical rules) as features and add other data sources, patterns/ideas and variables to essentially create a rating plan to support the next generation underwriting process. This is just one of several projects with large business value. Geographic analytics on agents and customers, application fraud detection, agent success prediction and client prospecting analytics (off-line and on-line) are other exciting examples of enormous incremental value from analytics. Our products will be implemented into real-time core business processes and decisions that drive the company (e.g. underwriting, pricing, agent recruiting, prospecting, new product development). We work with data ranging from demographics, credit and geo data to detailed medical data (medical test results, diagnosis, prescriptions) and social media information. We have a modern computing environment with a solid suite of data science/modeling tools and packages, and a large (but manageable) group of well-trained professionals at various levels to support you. Life insurance is on the verge of huge change. This is a chance to be part of, actually to drive, the transformation of an industry. You will be part of Data & Platform sub-function team under Center for Data Science and Analytics. The Data & Platform team services internally to Data Scientists who focus on Statistical analysis. You will be part of a fast paced, high-impact team who will work with an entrepreneurial mindset using some of the best of breed tools as part of our Enterprise Data Lake (Hadoop) using R, Spark and Python. You will apply your data engineering skills to design, develop and enhance data strategy across and within the data science domain. This role provides strategic support to internal teams and leads the design, build and implementation of model ready data pipelines. Experience in a fast paced data engineering role with multiple and complex data sets. Responsibilities * Provide strategy and guidance for the architecture and build of data ingestion jobs to process disparate and unique data sources to form a high integrity model ready data set. * Action oriented and comfortable working with complex data. * Thinks strategically and works to define overall direction for solving complex business issues. * Monitor and track data quality metrics * Proactively address and resolve technical issues to support key business initiatives. * Utilize emerging technologies to address business issues through technical innovation. * Functions as data expert, contributes to analytics/solutions design and productizing decisions * Can work independently with some supervision and be part of a collaborative team * Work with Project Managers and Scrum Masters to provide milestones and stories * Proactively and effectively communicates in various verbal and written formats with senior level member of the team and partners Required qualifications * Graduate-level degree in computer science, engineering, or relevant experience in the field of Business Intelligence, Data Mining, Database Engineering, Programming * 8-10 years of overall experience working in the field of data wrangling and programming with a minimum of 2 years experience with ingesting, cleaning, merging and applying necessary data wrangling logic in Hadoop * Excellent command of SQL – best practices, optimization, troubleshooting and debugging * Strong Knowledge of Enterprise Platforms, Cloud Technology and high performance computing. * Proficiency using Python for all data related work such as Numpy, Pandas, PySpark * Experience working with Linux Operating System * Experience working with data visualization tools or packages * Experience building Exploratory Data Analysis reports such as Histograms, Box plots, Pareto, Scatter Plot using R, Python or a Data Visualization tool such as Tableau, Spotfire Preferred: * Understanding of statistical modeling concepts, designs and analytics-based products * Any experience in using ETL tools such as Ab Initio, Talend, Informatica, Pentaho * Any experience working with Data Warehouses and/or Data Marts * Any experience in Life Insurance business Andiamo is an Equal Opportunity Employer Andiamo provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Andiamo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. All qualified candidates are encouraged to apply by submitting their resume as an MS word document including a cover letter with a summary of relevant qualifications, highlighting clearly any special or relevant experience. Andiamo New York NY

Senior Data Engineer

Octane Lending