Data Engineer at AI Sqaured

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

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
Experience with streaming data systems (Kafka, Kinesis, Pub/Sub) preferred
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

Skills

Python

SQL

Spark

Airflow

Kafka

AWS

GCP

Azure

Snowflake

BigQuery

Redshift

Delta Lake

dbt

Databricks

AI Sqaured

Integrates AI models into business applications

About AI Sqaured

Squared.ai focuses on predictive and generative artificial intelligence to enhance business productivity. The company helps businesses integrate AI and machine learning models into their operations, making AI-generated insights more accessible. By bridging the gap between data science and business teams, Squared.ai enables faster launches of AI projects and optimizes machine learning models for real-time integration with business applications. Their services include designing user-friendly experiences and ensuring model performance through real-time monitoring and auto-tuning. This approach allows businesses to gain insights quickly without lengthy development cycles. The goal of Squared.ai is to democratize AI, making it easier for organizations to adopt and leverage AI-driven decision-making.

Washington, District of ColumbiaHeadquarters

2021Year Founded

$19.3MTotal Funding

SERIES_ACompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees