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

Key technologies and capabilities for this role

PythonSQLSparkAirflowKafkaAWSGCPAzureSnowflakeBigQueryRedshiftDelta LakedbtDatabricks

Questions & Answers

Common questions about this position

What is the work arrangement for this Data Engineer role?

The position is hybrid and based in Washington, DC.

What programming skills are required for this position?

Strong programming skills in Python and SQL are required, with familiarity with Java/Scala as a plus.

What experience is needed for this Data Engineer job?

Candidates need 5+ years of experience as a Data Engineer or in a similar role focused on large-scale data systems.

What technical tools and platforms should I be familiar with?

Hands-on experience with big data frameworks like Spark, Flink, Hadoop; workflow orchestration such as Airflow, Prefect, Dagster; cloud platforms including AWS, GCP, Azure; and data technologies like Snowflake, BigQuery, Redshift, Delta Lake is required.

What soft skills are important for this role?

Strong analytical and problem-solving skills, along with excellent collaboration skills to work across engineering, product, and AI teams, are essential.

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