Remote Big Data Jobs in Florida (NOW HIRING)

Our client has a one year + contract role for a Data Engineer in Miami, FL. This is a remote role at this time but will require hybrid work in Miami, Florida by end of this year. This is a mid level role and not looking for Senior candidates.

Join a fast-growing team

As a Data Engineer in the Data Engineering & Analytics team, you will develop data & analytics solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high-performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.

You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations/decisions through activities like building ML models, automated data pipelines, designing data architecture/schema, performing jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.

• Drive the evolution of Data & Services products/platforms with an impact-focused on data science and engineering
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test
• Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
• Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.
• Participate in the development of data and analytic infrastructure for product development
• Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
• Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
• Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders
• Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
• Work with small, cross-functional teams to define the vision, establish team culture and processes
• Consistently focus on key drivers of organization value and prioritize operational activities accordingly
• Escalate technical errors or bugs detected in project work
• Maintain awareness of relevant technical and product trends through self-learning/study, training classes, and job shadowing.