Data Engineer

Superior Dental Care, Inc.; Cleveland (OH); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Superior Dental Care, Inc. is seeking a Data Engineer to design and develop data integration pipelines that support business insights. You will profile data, build ETL/ELT pipelines, develop data models, and ensure data quality while collaborating with stakeholders to translate needs into data products.

The role involves hybrid work with on-site presence in Brooklyn, OH, and interactions with cross-functional teams to socialize data insights and drive data-driven decisions.

Qualifications

• Bachelor's degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience.
• Basic understanding of programming design and coding techniques.
• Familiarity with systems development life cycle.
• Understanding of database technologies and query semantics.
• Experience with public cloud database technology (e.g. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery).
• Experience programming in ETL or ELT technology.
• Understanding of data warehouse data model theory and techniques.
• Experience with Python programming language.
• Two or more years professional experience developing software to solve business problems.
• Experience with data engineering system design and software implementation.
• Experience with all parts of the systems development life cycle.
• Experience with database technologies and query semantics.
• Experience with public cloud database technology (e.g. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery).
• Experience programming in ETL or ELT technology.
• Understanding of data warehouse data model theory and techniques.
• Experience with Python programming language.
• Seven or more years professional experience developing software to solve business problems.
• Five or more years' experience with data engineering system design and software implementation.
• Proficient with all parts of the systems development life cycle.
• Experience leading and coordinating technical initiatives.

Responsibilities

• Develop data pipelines to integrate and transform data for analysis.
• Support other data users and enable applied use of data to solve business problems.
• Business meetings to understand data and business needs, socialize knowledge of data products and insights, and generate consensus.
• Data profiling, data documentation, measuring and enforcing data quality.
• Developing data models to represent information.
• Performs other duties as assigned.
• Learns new technical concepts and software languages as needed.

Skills

Python programming

ETL/ELT

Data modeling

Cloud databases

SQL/database concepts

SDLC familiarity

Software development

Education

Bachelor's degree in Computer Science or CIS or business with data focus

2+ years professional experience developing software for business problems

3+ years data engineering system design experience

7+ years professional experience developing software

5+ years data engineering system design experience

Tools

Public cloud data platforms (RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery)

Job description

Note: This is a hybrid position located in Brooklyn, OH, with a three-day per week onsite requirement. Candidates must be located in the Cleveland/Brooklyn area.

Job Summary:

Data engineer responsible for the design and development of data integration pipelines. Build data solutions for business problems and support the applied use of data to enable business insights and action. Job duties involve profiling data, developing data transformation pipelines, measuring data quality, designing data models, and supporting applied use of data to solve problems (exploratory analysis, pipeline development, scheduling, alerts).

Responsibilities:

• Develop data pipelines to integrate and transform data for analysis.
• Support other data users and enable applied use of data to solve business problems.
• Business meetings to understand data and business needs, socialize knowledge of data products and insights, and generate consensus.
• Data profiling, data documentation, measuring and enforcing data quality.
• Developing data models to represent information.
• Performs other duties as assigned.
• Learns new technical concepts and software languages as needed.

Qualifications:

• Bachelor's degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience.
• Basic understanding of programming design and coding techniques.
• Familiarity with systems development life cycle.
• Understanding of database technologies and query semantics.
• Experience with public cloud database technology (e.g. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery).
• Experience programming in ETL or ELT technology.
• Understanding of data warehouse data model theory and techniques.
• Experience with Python programming language.
• Bachelor's degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
• Two or more years professional experience developing software to solve business problems
• Experience with data engineering system design and software implementation
• Experience with all parts of the systems development life cycle
• Experience with database technologies and query semantics
• Experience with public cloud database technology (e.g. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery)
• Experience programming in ETL or ELT technology
• Understanding of data warehouse data model theory and techniques
• Experience with Python programming language
• Bachelor's degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
• Four or more years professional experience developing software to solve business problems
• Three or more years' experience with data engineering system design and software implementation
• Experience with all parts of the systems development life cycle
• Experience with database technologies and query semantics
• Experience with public cloud database technology (e.g. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery)
• Experience programming in ETL or ELT technology
• Understanding of data warehouse data model theory and techniques
• Experience with Python programming language
• Bachelor's degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
• Seven or more years professional experience developing software to solve business problems
• Five or more years' experience with data engineering system design and software implementation
• Proficient with all parts of the systems development life cycle
• Experience with database technologies and query semantics
• Experience leading and coordinating technical initiatives
• Experience with public cloud database technology (e.g. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery)
• Experience programming in ETL or ELT technology
• Understanding of data warehouse data model theory and techniques
• Experience with Python programming language

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