Overview
$DOE
Accepts corp to corp applications
Contract - W2
Contract - 6 month(s)
Skills
SQL
Data Engineering
Job Details
HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Senior Data Engineer in Dallas, TX/ NYC, NY/ SLC, UT. Below is the detailed job description.
Title: Senior Data Engineer
Location: Dallas, TX/ NYC, NY/ SLC, UT(Preferred Dallas and NYC) 5 days onsite
Duration: Long term
Job Description:
Build What Matters-Large-Scale Data Engineering Leadership
we don t just build apps-we transform industries. We launch high-impact digital platforms, modernize mission-
critical systems, and create human-centered experiences that shape the way people live, work, and thrive.
critical systems, and create human-centered experiences that shape the way people live, work, and thrive.
We re seeking a Senior Data Engineer with expertise in large-scale time series data systems to lead the design and
implementation of robust, scalable, and efficient data infrastructure. This is a strategic and hands-on role for someone passionate
about powering advanced analytics and model-driven decision-making through high-performance data engineering.
implementation of robust, scalable, and efficient data infrastructure. This is a strategic and hands-on role for someone passionate
about powering advanced analytics and model-driven decision-making through high-performance data engineering.
Who We Are
We build high-impact digital products that solve real-world problems at scale.
Since 2002, we ve helped modernize platforms and accelerate innovation for some of the world s most recognized enterprises-
including Goldman Sachs, Morgan Stanley, Mastercard, Fidelity, UnitedHealth Group, Amazon, and more.
We specialize in web, mobile, cloud-native, and data-intensive systems-but what sets us apart is our culture of craftsmanship,
velocity, and outcome-driven delivery. We don t wait to be told what to do. We lead from within.
We build high-impact digital products that solve real-world problems at scale.
Since 2002, we ve helped modernize platforms and accelerate innovation for some of the world s most recognized enterprises-
including Goldman Sachs, Morgan Stanley, Mastercard, Fidelity, UnitedHealth Group, Amazon, and more.
We specialize in web, mobile, cloud-native, and data-intensive systems-but what sets us apart is our culture of craftsmanship,
velocity, and outcome-driven delivery. We don t wait to be told what to do. We lead from within.
Build the Data
Driven Future
Data isn t just infrastructure-it s intelligence in motion.
As a Senior Data Engineer, you ll architect and implement large-scale time series data pipelines that support high-throughput
ingestion, real-time querying, and seamless integration with Python-based machine learning workflows. You ll work closely with
engineering, analytics, and data science teams to ensure data systems are reliable, high-performance, and optimized for large
volumes and low-latency workloads.
Your work will enable model training, evaluation, and inference on dynamic, continuously evolving datasets that drive real-time
insight and innovation.
As a Senior Data Engineer, you ll architect and implement large-scale time series data pipelines that support high-throughput
ingestion, real-time querying, and seamless integration with Python-based machine learning workflows. You ll work closely with
engineering, analytics, and data science teams to ensure data systems are reliable, high-performance, and optimized for large
volumes and low-latency workloads.
Your work will enable model training, evaluation, and inference on dynamic, continuously evolving datasets that drive real-time
insight and innovation.
What You ll Do
As a Senior Data Engineer you will:
Design, build, and optimize high-performance data pipelines for large-scale time series data
Implement scalable data infrastructure using tools such as KDB
As a Senior Data Engineer you will:
Design, build, and optimize high-performance data pipelines for large-scale time series data
Implement scalable data infrastructure using tools such as KDB
, TimeSet (Google s large time series database), or Kronos
Develop efficient data ingestion and transformation workflows that handle real-time and historical time series data
Connect time series data systems with Python-based model pipelines to support machine learning training and inference
Collaborate with data scientists and ML engineers to ensure data availability, quality, and accessibility for experimentation and
production
Design data models and schemas optimized for time series use cases, including downsampling, aggregation, and indexing
strategies
Ensure system reliability, scalability, and performance through monitoring, testing, and tuning
Establish data governance, lineage, and observability best practices in large-scale environments
Develop efficient data ingestion and transformation workflows that handle real-time and historical time series data
Connect time series data systems with Python-based model pipelines to support machine learning training and inference
Collaborate with data scientists and ML engineers to ensure data availability, quality, and accessibility for experimentation and
production
Design data models and schemas optimized for time series use cases, including downsampling, aggregation, and indexing
strategies
Ensure system reliability, scalability, and performance through monitoring, testing, and tuning
Establish data governance, lineage, and observability best practices in large-scale environments
Mentor junior engineers on large-scale data design, distributed processing, and real-time system architecture
Partner with product, engineering, and infrastructure teams to align data systems with business goals
Partner with product, engineering, and infrastructure teams to align data systems with business goals
Requirements
You ll bring:
8+ years of experience in data engineering, with a focus on large-scale and high-throughput systems
Deep experience working with time series data and purpose-built storage systems (e.g., KDB
You ll bring:
8+ years of experience in data engineering, with a focus on large-scale and high-throughput systems
Deep experience working with time series data and purpose-built storage systems (e.g., KDB
, TimeSet, Kronos)
Strong experience building streaming and batch data pipelines using tools like Glue, Kafka, Flink, or Spark
Proficiency in Python and integrating data pipelines with machine learning workflows and libraries (e.g., pandas, NumPy,
scikit-learn, PyTorch)
Experience designing efficient, scalable data models and partitioning strategies for time series data
Knowledge of distributed systems, columnar databases, and parallel processing
Familiarity with cloud-native data architectures
Strong experience building streaming and batch data pipelines using tools like Glue, Kafka, Flink, or Spark
Proficiency in Python and integrating data pipelines with machine learning workflows and libraries (e.g., pandas, NumPy,
scikit-learn, PyTorch)
Experience designing efficient, scalable data models and partitioning strategies for time series data
Knowledge of distributed systems, columnar databases, and parallel processing
Familiarity with cloud-native data architectures
AWS, Google Cloud Platform, or Azure) and containerized data infrastructure
Strong understanding of data quality, lineage, monitoring, and observability tools
Excellent communication skills and a proactive, consultative mindset in client-facing environments
Bonus: Experience with multiple time series systems (e.g., KDB
Excellent communication skills and a proactive, consultative mindset in client-facing environments
Bonus: Experience with multiple time series systems (e.g., KDB
and Kronos) or contributing to open-source data
infrastructure projects
Why You ll Thrive
We re a community of builders who believe in doing our best work-and helping others do the same.
For example, we ve worked with industry leaders to design data architectures that power real-time decision engines and
predictive analytics at scale. Our engineers shape the foundation of data products that move industries forward.
you ll:
Work on high-visibility, high-impact data projects that shape enterprise intelligence
Collaborate with forward-thinking engineers, scientists, and product leaders
Lead from within empowered, autonomous teams that value outcomes over process
Grow through shared knowledge, mentorship, and continuous learning
Influence how modern data infrastructure is built and scaled for the future
We don t just build-we build what s next. Together.
We re a community of builders who believe in doing our best work-and helping others do the same.
For example, we ve worked with industry leaders to design data architectures that power real-time decision engines and
predictive analytics at scale. Our engineers shape the foundation of data products that move industries forward.
you ll:
Work on high-visibility, high-impact data projects that shape enterprise intelligence
Collaborate with forward-thinking engineers, scientists, and product leaders
Lead from within empowered, autonomous teams that value outcomes over process
Grow through shared knowledge, mentorship, and continuous learning
Influence how modern data infrastructure is built and scaled for the future
We don t just build-we build what s next. Together.
Benefits
we believe in building a better workplace. When you join our team, you can expect:
Comprehensive and customizable Medical, Dental, and Vision Plans
we believe in building a better workplace. When you join our team, you can expect:
Comprehensive and customizable Medical, Dental, and Vision Plans
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