Data Engineer

Akkodis; Chicago (IL); On-site; USD 105,000 - 125,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision care

401K plan

Paid time off

Job summary

Akkodis is seeking an experienced Data Engineer to grow our Business Intelligence practice by developing data engineering pipelines and analytic solutions. You will translate business questions into actionable data engineering and reporting requirements while promoting self-service analytics across the organization.

Salary range is $105,000.00/Year to $125,000.00/Year, negotiable based on experience and location. Equal opportunity employer; comprehensive benefits available.

Qualifications

• 5+ years building data pipelines with Databricks (SQL & PySpark) and Snowflake.
• 5+ years with relational/cloud databases (SQL Server, Oracle ADW, Snowflake, Redshift).
• Experience with Data Lake and Data Warehousing concepts like dimensional modeling.
• Experience with Azure components (ADLS, Key Vault, DevOps).
• Experience supporting a self-service dashboarding environment.

Responsibilities

• Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal partners and external customers.
• Provide expertise on data engineering tools, visualization concepts, and best practices.
• Partner with Analytics, Data Science, and Tech to define data usage policies and procedures.
• Translate complex data engineering requirements from concept to implementation.
• Collaborate across IT and analytics teams to advance self-service analytics capabilities.

Skills

Databricks (SQL & PySpark)

Relational/Cloud databases

Data modeling (Dimensional)

Azure cloud services

Self-service analytics

Analytics tools & frameworks

Job description

Akkodis is seeking an experienced Data Engineer to help influence and grow our Business Intelligence practice by developing data engineering pipelines and analytic solutions that support our Advanced Analytics and Data Science teams. You will partner with stakeholders across the business to translate questions and data needs into actionable engineering and reporting requirements while promoting a self service analytics environment. Find out more below!

Pay/Salary Range: $105,000.00/Year to $125,000.00/Year. The salary may be negotiable based on experience, education, geographic location, and other factors.

Required Skills:

• 5+ years of experience building data pipelines using Databricks (SQL and PySpark) and Snowflake
• 5+ years of experience with relational and cloud databases such as SQL Server, Oracle ADW, Snowflake, or Redshift
• Experience with Data Lake and Data Warehousing concepts such as Dimensional modeling
• Experience with components of Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops
• Experience supporting a self service dashboarding environment
• Experience with modern analytics tools, technologies, and frameworks
• Interest in exploring new and innovative ways to use data

Desired Skills:

• Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal partners and external customers
• Provide expertise on data engineering tools, visualization tools, concepts, and best practices
• Partner with Analytics, Data Science, and Technology to define best practices, policies, and procedures for data usage
• Translate complex data engineering requirements from concept through implementation
• Collaborate with Information Technology and analytics team members to advance self service analytics capabilities
• Engage hands on to gather requirements, build pipelines, and create dashboards

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers