Senior Technical Consultant

AHEAD; Chicago (IL); Hybrid; USD 145,000 - 185,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k)

Paid company holidays

Paid time off

Paid parental and caregiver leave

Plus more benefits on company site

Job summary

AHEAD is seeking a Senior Data Engineer to architect and implement big data and cloud environments that power advanced analytics and data science initiatives. You will design, build, and support data platforms in public cloud or multi-cloud setups, combining hands-on engineering with leadership delivery.

The role involves developing scalable data pipelines, working with batch and streaming data, and collaborating with leadership to guide projects from conception to production.

Qualifications

• 8+ years of professional technical experience.
• 4+ years of hands-on Data Architecture and Data Modelling.
• 4+ years building scalable data solutions using Hadoop, Spark, Databricks, Snowflake.
• 4+ years Python programming.
• 2+ years cloud environments (AWS/Azure).
• Strong client-facing communication and facilitation skills.

Responsibilities

• Design, build, operationalize, secure, and monitor data processing systems.
• Create robust pipelines to ingest and process structured and unstructured data for analytics.
• Engineer data structures and ELT processes for data lakes/data warehouses.
• Collaborate with Scrum teams to estimate and deliver work in sprints.
• Research data questions, identify root causes, and collaborate with stakeholders.

Skills

Python

Cloud

Linux

Windows

NoSQL

Git

ETL/ELT

Spark

Hadoop

Data Warehouse

Data Lake

Snowflake

SQL/RDBMS

OLAP

Data Engineering

Job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer,anddo not discriminatebased onan individual’s race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived.

_ We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD. _

AHEAD is looking for a Senior Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Senior Data Engineer will be responsible for strategic planning and hands-on engineering of Big Data and cloud environments that support our clients’ advanced analytics, data science, and other data platform initiatives. This consultant will design, build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. They will be expected to be hands-on technically, but also present to leadership, and lead projects.

The Senior Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Senior Data Engineer, you will design and implement data pipelines to enable analytics and machine learning on rich datasets.

Roles and Responsibilities

• A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems
• Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
• Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases
• Engineers and supports data structures including but not limited to SQL and NoSQL databases
• Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)
• Engineers API’s for returning data from these structures to the Enterprise Applications
• Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions
• Respond to customer/team inquiries and assist in troubleshooting and resolving challenges
• Works with other scrum team members to estimate and deliver work inside of a sprint
• Research data questions, identifies root causes, and interacts closely with business users and technical resources

Qualifications

• 8+ years of professional technical experience
• 4+ years of hands-on Data Architecture and Data Modelling.
• 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
• 4+ years of programming languages such as Python
• 2+ years of experience working in cloud environments (AWS and/or Azure)
• Strong client-facing communication and facilitation skills

Key Skills

• Python, Cloud, Linux, Windows, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Snowflake, SQL/RDBMS, OLAP, Data Engineering

$145,000 - $185,000 a year

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

USA Employment Benefits include:

• Medical, Dental, and Vision Insurance

• 401(k)

• Paid company holidays

• Paid time off

• Paid parental and caregiver leave

• Plus more! See benefits https://www.aheadbenefits.com/ for additional details.

The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.