Job Title: Data EngineerLocation: Chelsea, Manhattan, New York (Hybrid – 3 days in-office, 2 days remote)Compensation: $120,000 – $200,000 per year + performance bonusesAbout Leoforce:Leoforce is the innovative company behind Ira, the AI-powered recruiting technology that revolutionizes talent discovery and engagement. We empower recruiters and job seekers with responsible AI, delivering unbiased, data-driven results. Our workplace is built on respect, integrity, and the freedom to innovate, offering opportunities for professional growth and a collaborative, high-performance environment.Job Summary:We are seeking a skilled and experienced Data Engineer to design, develop, and manage scalable data infrastructure and pipelines supporting analytics and business intelligence functions. The ideal candidate excels in data architecture, ETL/ELT processes, and modern data platforms, with a strong focus on performance, reliability, and data quality.Key Responsibilities:- Design, build, and maintain robust data pipelines to extract, transform, and load (ETL/ELT) data from multiple sources.- Develop and optimize data architectures using relational and non-relational databases.- Collaborate with data analysts, scientists, and business stakeholders to understand data needs and deliver scalable solutions.- Implement data governance practices, including data quality, lineage, and cataloging.- Manage data infrastructure and services on cloud platforms (AWS, Azure, or GCP).- Automate data ingestion, validation, and transformation workflows.- Monitor, troubleshoot, and optimize data systems for performance and reliability.- Maintain comprehensive documentation of processes, data models, and workflows.Required Skills and Qualifications:- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.- 3–10 years of experience as a Data Engineer or in a similar role.- Strong proficiency in SQL and Python, Scala, or Java.- Experience with big data technologies (e.g., Spark, Hadoop, Hive, Kafka).- Hands-on experience with cloud platforms: AWS (Redshift, Glue, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).- Proficiency in building and maintaining data warehouses and data lakes.- Familiarity with data orchestration tools (e.g., Apache Airflow, Luigi).- Strong understanding of data modeling, data structures, and ETL frameworks.Preferred Skills:- Experience with real-time data processing and streaming platforms (e.g., Kafka, Flink).- Exposure to DevOps practices and CI/CD pipelines for data projects.- Knowledge of data security, privacy regulations, and compliance.- Familiarity with tools like dbt, Snowflake, Databricks, or Looker.- Certification in AWS/Azure/GCP data engineering is desirable.Benefits:- Competitive salary + performance bonuses- Health insurance and wellness programs- Learning & certification reimbursements- Collaborative and inclusive work culture- Career growth opportunities in a rapidly evolving industry- Employee empowerment and freedom to innovate
