Blend360 is hiring a Data Engineer

Blend360 is a data and AI services company specializing in data engineering, data science, MLOps, and governance to build scalable analytics solutions. It partners with enterprise and Fortune 1000 clients across industries including financial services, healthcare, retail, technology, and hospitality to drive data-driven decision making. Headquartered in Columbia, Maryland, the company is recognized for rapid growth and global delivery of AI solutions through the integration of people, data, and technology. We are seeking a hands-on Data Engineer with deep expertise in distributed systems, ETL/ELT development, and enterprise-grade database management. The engineer will design, implement, and optimize ingestion, transformation, and storage workflows to support the MMO platform. The role requires technical fluency across big data frameworks (HDFS, Hive, PySpark), orchestration platforms (NiFi), and relational systems (Postgres), combined with strong coding skills in Python and SQL for automation, custom transformations, and operational reliability. We are implementing a Media Mix Optimization (MMO) platform designed to analyze and optimize marketing investments across multiple channels. This initiative requires a robust on-premises data infrastructure to support distributed computing, large-scale data ingestion, and advanced analytics. The Data Engineer will be responsible for building and maintaining resilient pipelines and data systems that feed into MMO models, ensuring data quality, governance, and availability for Data Science and BI teams. The environment integrates HDFS for distributed storage, Apache NiFi for orchestration, Hive and PySpark for distributed processing, and Postgres for structured data management. This role is central to enabling seamless integration of massive datasets from disparate sources (media, campaign, transaction, customer interaction, etc.), standardizing data, and providing reliable foundations for advanced econometric modeling and insights. Responsibilities: Data Pipeline Development & Orchestration o Design, build, and optimize scalable data pipelines in Apache NiFi to automate ingestion, cleansing, and enrichment from structured, semi-structured, and unstructured sources. Ensure pipelines meet low-latency and high-throughput requirements for distributed processing. Data Storage & Processing o Architect and manage datasets on HDFS to support high-volume, fault-tolerant storage. o Develop distributed processing workflows in PySpark and Hive to handle large-scale transformations, aggregations, and joins across petabyte-level datasets. o Implement partitioning, bucketing, and indexing strategies to optimize query performance. Database Engineering & Management o Maintain and tune Postgres databases for high availability, integrity, and performance. o Write advanced SQL queries for ETL, analysis, and integration with downstream BI/analytics systems. Collaboration & Integration o Partner with Data Scientists to deliver clean, reliable datasets for model training and MMO analysis. o Work with BI engineers to ensure data pipelines align with reporting and visualization requirements. Monitoring & Reliability Engineering o Implement monitoring, logging, and alerting frameworks to track data pipeline health. o Troubleshoot and resolve issues in ingestion, transformations, and distributed jobs. Data Governance & Compliance o Enforce standards for data quality, lineage, and security across systems. o Ensure compliance with internal governance and external regulations. Documentation & Knowledge Transfer o Develop and maintain comprehensive technical documentation for pipelines, data models, and workflows. o Provide knowledge sharing and onboarding support for cross-functional teams.