Data Jobs in Austin

This is a ground floor opportunity within a young, rapidly scaling start-up where your data expertise will guide and influence ReCharge’s data adoption and how we incorporate data into processes and various functions. In this role, you’ll manage and build a dynamic team of data engineers and analytics professionals, support a suite of products that cater to a wide variety of customers and develop and execute the strategy for an in-house analytics product as well as a revenue generating commercial product.

The Senior Data Engineering Manager is the technical leader who will drive the strategic direction, evolution and operation of A Cloud Guru's data platform! You will work collaboratively with Business Operations (Analytics), Engineering, Product and other teams in order to preserve and strengthen A Cloud Guru’s technical culture which emphasizes ownership and responsibility while acting as a trusted advisor to non-technical colleagues. The Data Engineering manager's responsibilities include oversight of operations for services and systems owned by data engineering teams, continuous improvement of Agile practices, delivery of initiatives assigned to their group and people leadership. This role reports to the VP of Engineering.

We are looking for a Senior Business Analyst who has a passion for data and supplying their customers with insights as well as guiding their team to success. You know and love working with analytic tools, can write excellent SQL and scripts, are very effective and efficient at creating visual dashboards in Tableau and can use your technical skills and creative approaches to solve some unique problems in the Business Intelligence space. You’ll work closely with the product and website teams throughout product life-cycles, driving strategy and action through high-quality and timely data analysis. You are an advocate for your customers and you have a sense of ownership.

BigCommerce, named a 2019 "Best Place to Work" in Austin, is looking for a Catalog Transfer Services Engineer. This role requires a strong technical background and applicants should be self-motivated and used to working within a small team environment. Employee is responsible for building and maintaining complex ETL software, building and maintaining a stand-alone, auto-scaling AWS infrastructure - including 24/7 on-call shifts to respond to any outages, building and maintaining internal software used by the CTS team locally and on VM’s to perform data transfer, maintain and develop over 10 (currently) Self Serve Apps offered in the BigCommerce Marketplace including the AWS Infrastructure, and any other ENG/DEV project that is considered senior. This role will also require you to be a technical lead on complex client-facing projects. 

A Senior Software Engineer is responsible for implementation and delivery of backend services and data platform frameworks. They will leverage PaaS and IaaS cloud offerings to build services that support data management, infrastructure, AI services, and industry interoperability. They should contribute to projects and development efforts using agile methodologies

As the Engineering Manager for Data Infrastructure, reporting to the Head of Data Science & Engineering, you will lead the team responsible for the data backbones that power Duo’s product and business. You will develop trust with, mentor, and grow a team of capable data engineers. Your team will create and improve paved paths for using modern logging infrastructure such as Kafka and Elasticsearch. That infrastructure serves our customers directly through in-product reports and APIs, as well asby supplying data to machine learning features like Duo Trust Monitor. Your team will also own other related infrastructure for customer, product R&D, and business intelligence use cases.

Cloudflare is looking for a data scientist with first class financial modeling skills who will help the company exceed its growth and profitability goals. You'll work with key stakeholders to develop and maintain accurate product costing models. You will apply data wrangling skills, discover and share data-driven insights, create visualizations, construct and interpret quantitative analyses, and build statistical and machine learning models, all in order to solve complex costing problems. This is a high profile, cross-functional role that will have an immediate impact on the business.

The Data Science Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The Date Science Engineer will consider optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. The Data Science Engineer should have the drive and ability to meet with relevant stakeholders, understand and model relevant data, and effectively communicate with an engineering team to put models into production. Demonstrating lifelong learning and collaboration; and willingness to take advice and fill gaps in knowledge is essential.

Collaborate directly with external customers to understand their student success goals, specify and design data solutions and commission products into production. Develop ETL transformations to map client data systems into our canonical data model. Collaborate with teams across Civitas to drive innovation and best practices in our data and data science platform. Up to 20% Travel to visit external clients for technical discovery and/or UAT/QA of data mappings. Design, Implement and Maintain Database Models. Build and operationalize data science models on AWS.

Design and implement predictive models to improve engagement, conversion, and retention. Collaborate with Product Managers and other engineers to surface use cases for applying machine learning in Evernote Product. Guide and mentor junior and other aspiring machine learning engineers on the team.

Magento's Research and Development team is looking for a motivated and experienced Machine Learning Engineer to work on our enterprise commerce products. We are looking for someone to provide leadership and hands-on engineering to our cloud teams.

Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities. Implementing ETL processes. Monitoring performance and advising any necessary infrastructure changes. Defining data retention policies. Be part of a team that is creating a brand-new product line. Collaborate with team members to help shape requirements. Actively engage in technology discovery that can be applied to the product.

SailPoint is seeking a Data Software Engineer to help build a new cloud-based identity analytics product incorporating real-time data pipelines, machine learning algorithms and multi-tenancy support. We are looking for well-rounded backend or full stack engineers who are passionate about building and delivering reliable, scalable microservices and infrastructure for SaaS products.

A Lead Data Engineer is responsible for design, implementation and delivery of backend services, data pipelines and data platform frameworks that build on our high-value data assets. They will evaluate and build proof of concepts and production code using Cloud PaaS and IaaS offerings that support data management, infrastructure and industry interoperability. They should contribute to projects and development efforts using agile methodologies. A Lead Data Engineer will be able to give advice and mentorship to junior and senior engineers and work collaboratively with architects to make recommendations about appropriate tools, technologies and techniques.

A Senior Data Engineer is responsible for implementation and delivery of backend services, data pipelines and data platform frameworks that build on our high-value data assets. They will leverage PaaS and IaaS cloud offerings to build services that support data management, infrastructure and industry interoperability. They should contribute to projects and development efforts using agile methodologies.

As LeanDNA’s DBA, you will be responsible for the performance, availability, monitoring, and security of our data layer. It will be your job to ensure the smooth operation of our database instances. You will also be guiding our full-stack developers to write performant database queries. You will be a critical part of our team’s ability to offer our users an excellent user experience.

Our Software Developer - Analytics works on an engine that generates high-value prescriptive actions that help our customers optimize their inventory. The analytics engine has a direct impact on our customer’s ability to meet their goals for inventory reduction and on-time delivery metrics. Our Analytics Developers live and breathe data analysis, data engineering, and algorithmic thinking to create deep insights into complex data sets.

Set up process to track, monitor and analyze the key drivers of the business. Regular reporting of leading and lagging indicators against targets. Develop insights and recommend actions. Conduct deep dive analytical projects based on insights. Track and report on company KPI’s vs. financial plan. Communicate financial trends with Executives and relevant stakeholders. Develop materials for Board of Director meetings. Drive productivity enhancements and efficiencies in our revenue organization. Develop and maintain variable compensation plans. Project manage process improvement initiatives. Collaborate with other departments (finance, marketing, engineering, product, etc.) to optimize processes.

In this position, you will be leveraging the latest advancements in NLP and our existing corpus of over a 100 million clinical notes to develop a state of the art pipeline for interpreting clinical text in real time.  Key problems include information extraction from mixed narrative and semi-structured text, dealing with word sense disambiguation, abbreviated terms and contextual resolution of mentions.  Working with the rest of our data science team you'll develop ML models utilizing the clinical insights derived from textual notes combined with structured clinical data to identify disease and disorders affecting the patient, associated treatments and gaps in the documentation.

You will be working alongside (and at times, onsite) with customer IT staff and business analysts to retrieve customer data and understand the customer’s data structures and semantics. You will use your data analytics and SQL capabilities to transform the data and upload it to the LeanDNA cloud solution. You will be working with the LeanDNA Customer Success team to ensure that the data is of the highest possible quality, and with the LeanDNA Engineering team to integrate into the LeanDNA data pipeline.