IQ Inc
Lead Data Engineer
IQ Inc. is looking for a Lead Data Engineer who enjoys designing tailor-made architectures. In this position, you will be implementing data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes. Interfacing with clients, developing talent, and working with diverse client backgrounds and industries will all be part of your daily activities.

This role involves significant travel to client sites, at times globally. The amount is dependent on client needs and the nature of projects.

In this role you will:
  • Design flexible data models that are extensible to support existing and new use cases
  • Deploy machine learning models in production
  • Work with client architects and engineering teams to ensure long term client enablement
  • Lead the engineering team to execute and deliver quality scalable software 
  • Assist with business development through writing proposals, scoping projects
  • Contribute to leadership through written publications and speaking at events and conference

Some of the “must-haves” Include:
  • 6+ years working on large scale, full lifecycle data implementation projects 
  • 5+ years in a client facing role
  • 4+ years developing ETL/ELT workflows with Python, Scala or Java
  • 2+ years with AWS/Azure/GCP data stack to deploy data pipelines (S3, Blob storage, AWS Glue, Azure Data Factory, Cloud Dataflow, EMR, Dataproc, etc.)
  • Fundamentally strong in data structures, algorithms, systems, and programming skills
  • Deep knowledge of performant SQL, major database platforms (Oracle, SQLServer, Teradata, MySQL, Postgres) and cloud based MPP databases (Redshift, Synapse, Big Query, Snowflake)
  • Big Data technologies (Spark, Hive, Impala, Druid, or Presto)
  • Excellent communication, interpersonal and analytical skills, combined with intellectual curiosity
  • Bachelor’s degree in data engineering, software engineering, data science, computer science, applied mathematics, or equivalent experience
  
And some of the “nice-to-haves”:
  • Knowledge of distributed data processing
  • DevOps and DataOps skills including “infrastructure as code” systems like CloudFormation or Terraform
  • Data system performance tuning 
  • Implementation of predictive analytics and machine learning models (MLlib, scikit-learn, etc)
  • Understanding of “big picture” business requirements that drive architecture and design decisions

What to include on your resume:
A link to your portfolio/Git repository that demonstrates your affinity for software engineering and shows how you approach digital challenges

Candidates must reside in or relocate to:
Atlanta, Austin, Boston, Chicago, Dallas, LA, Miami, Silicon Valley, NY, Pittsburgh, San Francisco, Seattle, Washington DC

IQ Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, IQ Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

IQ Inc. expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of IQ Inc.’s employees to perform their job duties may result in discipline up to and including discharge.
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