Full-Time

Data Engineer

Posted on 9/24/2025

AI Sqaured

AI Sqaured

51-200 employees

Integrates AI models into business apps

No salary listed

Washington, DC, USA

Hybrid

Category
Data & Analytics (1)
Required Skills
Data Lake
Microsoft Azure
Redshift
Python
Airflow
BigQuery
Apache Spark
SQL
Machine Learning
Apache Kafka
Java
ETL
AWS
Scala
Observability
Hadoop
Databricks
Snowflake
Google Cloud Platform
Requirements
  • 5+ years of experience as a Data Engineer or in a similar role focused on large-scale data systems.
  • Strong programming skills in Python, SQL, and familiarity with Java/Scala a plus.
  • Hands-on experience with big data frameworks (e.g., Spark, Flink, Hadoop) and workflow orchestration (Airflow, Prefect, Dagster).
  • Proven experience with cloud-based data platforms (AWS, GCP, Azure) and data lake/warehouse technologies (Snowflake, BigQuery, Redshift, Delta Lake).
  • Strong understanding of data modeling, ETL/ELT processes, and distributed data systems.
  • Knowledge of data governance, security, and compliance best practices.
  • Strong analytical and problem-solving skills, with a focus on building maintainable, scalable systems.
  • Excellent collaboration skills and ability to work across engineering, product, and AI teams.
Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Develop data architectures that support large-scale training, inference, and analytics workflows.
  • Ensure data quality, governance, and lineage across multiple sources and systems.
  • Partner with data scientists and ML engineers to deliver high-quality datasets for model development.
  • Optimize data workflows for performance, scalability, and reliability on cloud platforms (AWS, GCP, Azure).
  • Leverage modern data engineering tools (e.g., Spark, Databricks, Airflow, Kafka, dbt) to support pipelines and workflows.
  • Implement monitoring, alerting, and observability for data pipelines to ensure robustness.
  • Work across teams to ensure data systems align with platform and business goals.
Desired Qualifications
  • Experience with streaming data systems (Kafka, Kinesis, Pub/Sub) preferred.
  • Java/Scala experience is a plus.

Squared.ai builds and deploys AI-powered solutions for businesses by integrating predictive and generative AI into business applications. It bridges data science and business teams to enable rapid AI projects and adoption without long development cycles. The platform prepares foundational models and LLMs, enables real-time integration with mission-critical apps, and provides user-friendly interfaces plus real-time performance monitoring. Its goal is to democratize AI-driven decision-making by delivering timely AI-powered insights within existing web apps and workflows.

Company Size

51-200

Company Stage

Series A

Total Funding

$19.8M

Headquarters

Washington DC, District of Columbia

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $13.8M Series A in April 2024 led by Ansa Capital.
  • Partnered with UNIFI Music for AI artist management integration.
  • Completed first acquisition post-funding to enhance AI maintenance.

What critics are saying

  • C3.ai erodes differentiation with superior scale in Fortune 500 clients.
  • DataRobot automates deployments 3x faster, capturing mid-market share.
  • H2O.ai's free tier drives SMB churn via open-source monitoring.

What makes AI Sqaured unique

  • Sparx unifies sales, finance, operations data for instant AI insights without coding.
  • Platform reduces AI integration from months to hours via no-code connections.
  • Real-time monitoring auto-tunes models for seamless business app embedding.

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Benefits

Hybrid Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

5%

1 year growth

2%

2 year growth

22%
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