Data Engineer

Data Engineer II will take a lead position in designing and implementing scalable data solutions. You will collaborate closely with stakeholders to understand business requirements and translate them into technical solutions, leveraging your expertise in data engineering, analytics, and software development. Collaborating with other engineers to create high quality data pipelines and supporting software., * Lead the design, development, and implementation of complex data pipelines and ELT processes to support business objectives.

• Collaborate with cross-functional teams to gather requirements, define data architectures, and drive data-driven decision-making.
• Lead troubleshooting efforts and provide technical support to resolve data-related issues and challenges.
• Analyze new data sets and generate data from internal pipelines for business requirements.
• Expertise across warehouse, data lake, and serverless.
• Provide feedback to other engineers through code reviews and pair programming on best practices to create high quality code and systems.

• Initiative-taker who can manage several work items independently.
• Eagerness to learn new technologies and technology tools.
• Results-driven/detail-oriented
• Strong analytical, quantitative, and problem-solving abilities
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
• Ability to implement ETL using SSIS.
• Knowledge of multiple types of analytical software (Power BI, Python, SAS, JMP)
• Thorough knowledge of relational database theory and practice as well as familiarity with a variety of databases
• Ability to work both independently and collaboratively with cross-functional teams.
• Excellent oral and written communication skills
• Basic knowledge of business practices
• Ability to integrate several different computer software programs to perform advanced tasks, for example, transferring data from one program to another, complex formulas, using graphics and charts.
• Basic programming and troubleshooting experience.
• Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume.
• Ability to apply basic concepts of algebra and geometry.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
• Able to interpret a variety of instructions furnished in written, oral, diagram or schedule form.
• Must be knowledgeable of and comply with Wondr Health's Client Privacy Policy, HIPAA regulations and E&O procedures and policies., Bachelor's degree in computer science, analytics, information systems or a related field preferred, 2 - 5 years of experience as a Data Engineer. Experience with SQL and NoSQL databases, data pipeline and workflow management tools, AWS cloud services, and object-oriented/object function scripting languages. Amazon Redshift, IaC, DB2 experience desirable.