Data Engineer

SRM; Iowa (LA); Remote; USD 71,000 - 121,000; Full time

Job summary

A leading company is looking for a Data Engineer to design and manage enterprise cloud ETL processes. Responsibilities include developing data integration, collaborating with teams on requirements, and supporting BI environments. Ideal candidates will have a Bachelor's degree and relevant experience in data modeling and ETL tools.

Benefits

Comprehensive medical, dental, and vision insurance

401k plan

Paid time off

Annual bonus

Qualifications

• 0-2 years of data engineering or software engineering experience preferred.
• Azure or AWS certification is a plus.

Responsibilities

• Design, develop, manage, and support cloud ETL processes.
• Translate business requirements into data models.

Skills

Data modeling

SQL query language

C# or OOP programming

XML, JSON, parquet formats

Data integration

Verbal and written communication

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure Data Factory

SQL Server

Snowflake

Job description

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Join to apply for the Data Engineer role at SRM

• In this position, you will be responsible for designing, developing, implementing, deploying, documenting, managing, and supporting enterprise cloud ETL processes and environments.
  
  

DATA ENGINEER

SUMMARY:

• In this position, you will be responsible for designing, developing, implementing, deploying, documenting, managing, and supporting enterprise cloud ETL processes and environments.
  
  

PRIMARY FUNCTIONS AND ESSENTIAL RESPONSIBILITIES:

• Support ENGIE Insight’s computer systems and ETL (“Extract, Transform, Load”) data processes.
• Translate business requirements into data models that drive data lake or mart or warehouse design and configuration.
• Actively participate in estimating the level of effort and documenting the work breakdown.
• Actively participate in team ceremonies (daily stand-up, backlog refinement, review, retrospectives, etc.)
• Work with cross-functional teams to gather, document, and approve business requirements for data analysis and reporting projects.
• Actively participate in translating business requirements into a system design specification to manage Unstructured, Transactional, Hierarchical, Master and metadata.
• Actively participate in designing, developing, and implementing data integration (ETL) processes to transform unstructured and disparate source data into target data stores, lakes, marts, or warehouses.
• Actively participate in designing, developing, and implementing test automation processes.
• Review implementation and maintenance of ETL processes that support feature development and testing.
• Monitor data lake, mart, or warehouse ETL processes and implement tuning to address scalability, recoverability, and performance impediments.
• Provide on-call support to Business Intelligence environments for internal and external users.
• Plan and conduct development work on data integration projects necessitating the origination and application of new and unique approaches.
  
  

QUALIFICATIONS AND REQUIREMENTS:

• Education/ Certifications/ Experience
  
• Bachelor's Degree required in one of the following fields: Computer Science, Computer Engineering, Electrical & Computer Engineering, Information Systems, or a closely related field
• 0-2 years of data engineering or software engineering experience preferred
• Azure or AWS (Amazon Web Services) data engineer certification a plus
• May consider a combination of relevant experience with educational and other skills and abilities in lieu of educational requirements
  
• Competencies/ Skills/ Abilities
  
• Strong verbal, written and interpersonal skills.
• Experience with the Microsoft Office suite of products required
• Familiarity with systems: SQL Server, Snowflake, or other database technology
• Basic understanding of data modeling preferred
• Basic understanding of C# or any OOP programming language preferred
• Basic understanding of SQL query language required
• Basic understanding of OOP concepts preferred
• Basic understanding of various data formats (XML, JSON, parquet, etc..) required
• Azure Data Factory, Informatica, or another cloud ETL tool experience preferred
• Familiarity or work experience with Azure Data Factory a plus
  
• Other
  
• Passion to drive Engie Impact’s mission and values
  
  

A t ENGIE, our Goal is to promote, and thrive on diversity, equity, and inclusion. We do so for the benefit of our employees our goal is to support, customers, products and services, and community. ENGIE is proud to be an equal opportunity workplace, and we are firmly committed to creating an equitable and inclusive environment for all employees.

We are committed to providing employees with a work environment free of discrimination and harassment. All employment decisions at ENGIE are based on business needs, job requirements, and individual qualifications. ENGIE is committed to providing equal employment opportunities regardless of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship, age, sex or gender (including pregnancy, childbirth, and related medical conditions), gender identity, or gender expression (including transgender status), sexual orientation, marital status, civil union, or domestic partnership status, military service or veteran status, physical or mental disability, protected medical condition, genetic information, or any other legally protected category (referred to as “protected characteristics”) as defined by applicable federal, state or local law in the locations where we operate.

The pay range for this role is: $71,400- 120,750

• Pay range is based on several factors and may vary in addition to a full range of medical, financial, and/or other benefits. Final salary and offer will be determined by the applicant’s background, experience, skills, internal equity, and alignment with geographical market data. This position is eligible for our comprehensive and competitive benefits package including medical, dental, vision, and basic life insurance. Additional ENGIE benefits include a 401k plan, paid time off and annual bonus . ENGIE complies with all federal, state, and local minimum wage laws
  
  

WORK ENVIRONMENT:

• Work schedules are determined by business need and manager discretion; full time employment is considered 40 hours per week
• Remote work is permitted from a residence within commuting distance of ENGIE’s Spokane worksite at manager discretion
• Incumbent must be available for on-call responsibilities during scheduled time
• Off-site travel to local events may be required up to 10 days per year.
• Health & Safety Working Requirements
  
• Adequate working surface (can fit two monitors, a keyboard, mouse, and docking station)
• Adjustable ergonomic chair
• Proper Lighting
• Heating, air conditioning and ventilation to create a comfortable environment
• Appropriate internet and bandwidth to conduct business
  
• Incumbent may be exposed to frequent noise caused by telephones, office machines, and nearby oral communications among fellow employees
• As a global organization, attending meetings and events during early mornings and evenings may be required
• Performing duties and attending events during the evening and on the weekend occurs occasionally and may be required
• Business travel may be required up to 10% of the time
  
  

REQUIRED PHYSICAL ACTIVITIES:

• Manual and physical dexterity needed to operate a computer keyboard and handle paper documents
• Adequate hearing and verbal abilities to communicate effectively in person, by telephone, and by video call
• Sufficient near vision acuity to read information appearing on computer display screen, in handwritten forms, and printed on paper
• Entering text or data into a computer or other machine with a traditional keyboard. Traditional Keyboard refers to a panel of keys used as the primary input device on a computer, typographic machine, or 10-Key numeric keypad.
• Clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including use of computers.
  
  

Business Unit: GBU Energy Solutions

Division: SRM

Legal Entity: ENGIE INSIGHT SERVICES INC.

Professional Experience: Skilled ( >3 experience <15 years)

Education Level: Bachelor's Degree

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Utilities

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