Data Engineer

Kabbage Atlanta , GA 30301

Posted 3 weeks ago

Kabbage is setting a new standard in big data and FinTech, and we are looking for a Data Engineer to join us as we continue our amazing growth trajectory. As we offer the only fully automated, online lending platform designed to support continuous customer data monitoring, Data Science is one of the pillars of Kabbage's persistent innovation and sets the standard for automated lending.

Kabbage is more than a lender for small businesses; our data and technology platform is now being used as a fully branded product by other lenders, and our products are growing rapidly. We've received numerous awards and recognition, including Glassdoor's 2017 Best Places to Work, "36th fastest growing company in the US" on the INC 500 List, Fast Company's "Top 10 most innovative companies in finance" and Forbes' "America's Top 100 Most Promising Companies" among others.

Your mission:

Help with the incredible task of building full data pipelines and finding new data sources for Kabbage. Own the data: understand all the nuances of the data, process data for the team, and extract information from complex data sets.

What you'll be doing:

  • Analyze, understand and contextualize datasets from a variety of sources.

  • Evaluate new data sources for acquisition and integration.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.

  • Turn raw data into features to be used in machine learning models.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Work cross-functionally with technical leaders across the business to become the guru on understanding how our data is being collected and used throughout the business.

What we're looking for in you:

  • Intelligence: Learns quickly. Demonstrates ability to quickly and proficiently understand. You have an aptitude to independently learn new technologies.

  • Efficiency: Able to produce significant output with minimal wasted effort.

  • Organization and Planning: Plans, organizes, and schedules in an efficient, productive manner; focuses on key priorities; manages time well

  • Analytical Skills:
    Able to structure and process qualitative or quantitative data and draw insightful conclusions from it; exhibits a probing mind and achieves penetrating insights

  • Problem Solving: Provides practical solutions to problems

  • Initiative: Actively finds ways to make improvements at work

  • Flexibility/Adaptability: Adjusts quickly to changing priorities and conditions; copes effectively with complexity and change

  • Enthusiasm: Exhibits passion and excitement over work; has a can-do attitude

  • High Standards: Expects personal performance and team performance to be nothing short of the best

  • Teamwork: Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship

  • Communication: Excellent written and oral communication skills and ability to share findings with a large, non-technical audience.

  • Attention to detail: Does not let important details slip through the cracks or derail a project. You're a perfectionist who tempers perfection with deadlines.

  • Persistence: Demonstrates tenacity and willingness to go the distance to get something done.

What you should have:

  • Strong ability in at least one programming language, preferably Python.

  • Strong knowledge of statistics.

  • Experience processing large amounts of structured and unstructured data.

  • A successful history of manipulating, processing, and extracting value from large disconnected datasets.

  • Experience in machine learning, natural language processing, and other modeling techniques.

  • Experience with big data tools: Hadoop, Spark, Kafka, etc.

  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift.

  • Experience with stream-processing systems: Storm, Spark-Streaming, Flink, etc.

Bonus points:

  • Relevant industry experience is a big plus.

The Kabbage Advantage

At Kabbage, our people are awesome, so we built the Kabbage Advantageour way of being awesome right back. We offer competitive benefits including unlimited PTO, equity in the company, and exceptional health coverage options. Our team members enjoy a dynamic work environment with daily catered lunches, fully stocked kitchens, and onsite fitness classes.

While our perks and benefits are generous, the people are actually what make Kabbage great. Kabbagers are curious, creative, and resilient. We are enthusiastic, productive, and problem solvers. And we don't do it alone. At Kabbage, you will find low ego individuals who work hard to communicate effectively and work collaboratively.

Kabbage is an equal opportunity employer. At Kabbage we make all employment decisions, which include hiring, promoting, transferring, demoting, evaluating, compensating and separating, without regard to sex, sexual orientation, gender identity, race, color, religion, age, national origin, pregnancy, citizenship, disability, service in the uniform services, or any other classification protected by federal, state or local law.


See if you are a match!

See how well your resume matches up to this job - upload your resume now.

Find your dream job anywhere
with the LiveCareer app.
Download the
LiveCareer app and find
your dream job anywhere
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
Data Engineer

Captech Richmond

Posted 2 months ago

VIEW JOBS 11/12/2018 12:00:00 AM 2019-02-10T00:00 Company Description CapTech is a national IT management consulting firm that bridges the gap between business and technology. We partner with some of the world's most successful companies to design, develop, and manage technical and digital solutions that delight customers, drive insights, and meet strategic objectives. At CapTech, you'll experience a flat organizational structure based upon a culture of mutual respect. Here, your career path isn't set in stone, and you have unlimited potential for growth and the resources to help you achieve your career goals. If you are creative, technically insightful, driven–and have a passion for the work that we do, then you might be a future CapTecher. For over five years, we have been in the Top 10 of Consulting Magazine's Best Firms to Work For, including #2 for IT Firms and #5 for Work/Life Balance. We are also recognized by Vault.com's Top 50 Consulting Firms and have been on the Inc. 5000 list of fastest growing companies for over 10 years. Job Description The Data Engineer, Analytics role falls into the Data Management & Business Intelligence practice area at CapTech, through which our consultants provide a broad spectrum of services to help our clients define and implement a strategy to deliver lasting and mission-critical information capabilities. Our Data Integration consultants bridge the gap between the business and IT side of companies. By partnering with clients to fully understand both their business philosophy and IT strategy, CapTech consultants maintain the vision that data integration should be built to help the organization make better decisions by providing the right data at the right time. Specific responsibilities for the Data Engineer, Analytics position include: * Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc) * Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights * Design, develop, and implement data processing pipelines at scale * Present programming documentation and design to team members and convey complex information in a clear and concise manner. * Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes. * Write and refine code to ensure performance and reliability of data extraction and processing. * Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers * Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests. * Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development. * Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products. * Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka. Qualifications Specific qualifications for the Data Engineer, Analytics position include: * Bachelor's Degree in Computer Science, MIS, or equivalent combination of education and experience preferred. * Development experience building ETL graphs using the Ab Initio GDE, EME and Co-Operating system * Strong SQL development skills * Development experience with at least two different programming languages preferred (Python, Java, C, etc.) * Development experience with Unix tools and shell scripts * Development experience with at least two different database platforms (Teradata, Oracle, MySQL, MS SQL, etc.) * Minimum of 3 years experience designing, developing, and testing software aligned with defined requirements * Experience tuning SQL queries to ensure performance and reliability * Software engineering best-practices, including version control (Git, TFS, JIRA, etc.) and test driven development * Exposure to Business Intelligence tools such as Business Objects, Informatica, SSRS, Cognos, MicroStrategy, Tableau, QlikView, SpotFire, etc. Additional Information We offer challenging and impactful jobs with professional career paths. All CapTechers can keep their hands on technology no matter what position they hold. Our employees find their work exciting and rewarding in a culture filled with opportunities to have fun along the way. At CapTech we offer a competitive and comprehensive benefits package including, but not limited to: * Competitive salary with performance based bonus opportunities * Single and Family Health Insurance plans, including Dental coverage * Short-Term and Long-Term disability * Matching 401(k) * Competitive Paid Time Off * Training and Certification opportunities eligible for expense reimbursement * Team building and social activities * Mentor program to help you develop your career At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. Candidates must be eligible to work in the U.S. for any employer directly (we are not open to contract or "corp to corp" agreements). 

 CapTech is an equal opportunity employer. 
 CapTech is a Drug-Free work place.
 Candidates must have the ability to work at CapTech's client locations. 
 All positions include the possibility of travel. CapTech has not contracted/does not contract with any outside vendors in its recruitment process. If you are interested in this position, please apply to CapTech directly. Captech Richmond Atlanta GA

Data Engineer

Kabbage