New Grad Data Engineer Jobs in Texas (NOW HIRING)

DEPARTMENT:

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Product: Engineering

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POSITION:

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Data Engineer

REPORTS TO:

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Director, Engineering

SUPERVISES:

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None

JOB CLASS:

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Exempt

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.

Education:

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Bachelor’s degree in computer science, analytics, information systems or a related field preferred

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Experience:

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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.

General office working conditions can be remote work from home or in the office. Each department head determines if the position is work from home or hybrid meaning works from home and in the office as needed. Work schedules vary. When working in the office pod workstation area there is little or no privacy. Involves extended periods of sitting at a workstation performing computer duties. Constant flow of interruptions by personnel, visitors to area and telephone calls. Private workstations are available as needed. Certain positions are assigned to an office.

This description is intended to be sufficient merely to identify the classification and be illustrative of the duties that may be assigned. It should not be interpreted to describe all the duties an employee assigned to this classification may be required to perform.

Wondr Health is an equal opportunity employer and values diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. All employment is decided based on qualifications, merit, and business need.