Top Data Engineer Jobs in Little Rock,

The Data Management Specialist will support survey data management by cleaning and recoding sample frames, ensuring data integrity, performing quality control on datasets, and collaborating with teams for data collection. The role requires strong syntax writing skills and experience with large datasets.

As a Sales Representative at CoStar Group, you will engage with potential and existing clients, manage a book of business, and promote CoStar’s analytics and information products, while owning the entire sales cycle from prospecting to closing.

The Lead Data Engineer will design and implement cloud data lakes and large-scale data architectures. Responsibilities include collaboration with AI/ML teams, establishing data governance, and mentoring junior engineers. This role requires expertise in big data technologies, tabular data formats such as Apache Iceberg and Parquet, and proficiency in cloud platforms like AWS, Azure, or GCP.

As a Data Architect, you'll develop datasets for data visualization and machine learning while working with structured and unstructured data. Responsibilities include automating data pipelines, building data ingestion frameworks using Data Bricks and Apache Spark, and collaborating with stakeholders to deliver data products.

Manage and administer MSSQL and PostgreSQL databases, developing and optimizing SQL queries, designing stored procedures, and ensuring database security. Collaborate with teams for database troubleshooting and use AWS services for deployments. Maintain system performance and integrity, while staying updated with best practices in database management.

The Senior Data Engineer is responsible for analyzing existing data sets, defining data requirements, and performing statistical modeling to improve decision-making processes. Key responsibilities include managing projects, coaching lower-level professionals, developing reports using SQL, and delivering analytic solutions while ensuring data quality and compliance with development standards.

The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.