Senior Software Engineer, Data Focus

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ITX Corp.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1997

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Software • Enterprise

ITX Corp. is a full-service custom software partner that has been a transformative player in software since 1997. They specialize in software product strategy, architecture and security, user research and design, and data science and artificial intelligence. ITX collaborates closely with clients to solve major software product challenges and employs AI and machine learning to enhance decision-making and business success. Their work spans various industries, including financial services, civic and social services, insurance services, and eCommerce, ensuring functionality, compliance, and security. ITX is committed to accessibility, demonstrating technological and organizational maturity through SOC 2 Type II compliance and adherence to web accessibility guidelines.

📋 Description

• Design and implement scalable, secure data pipelines across multi-cloud ecosystems (Azure, AWS, GCP). • Develop and maintain ETL/ELT workflows using modern orchestration tools like Apache Airflow, Spark, and cloud-native services. • Build and optimize data processing frameworks with technologies such as Apache Beam, DLT, DBT, and Snowflake. • Collaborate with data scientists and AI engineers to operationalize machine learning models and integrate AI services (Azure AI, AWS SageMaker, GCP Vertex AI, Databricks MLflow). • Implement data quality, governance, and observability practices to ensure accuracy, consistency, and compliance. • Design and maintain data models and analytical layers that power self-service analytics and BI solutions. • Continuously evaluate emerging tools and frameworks to deliver best-in-class performance and cost efficiency.

🎯 Requirements

• Cloud Expertise: Hands-on experience with platforms like Databricks, Snowflake, AWS (Redshift, Glue, Athena, EMR), Azure (Synapse, Data Lake), or GCP (BigQuery, Dataflow, Vertex AI). • Strong understanding of Delta Lake, Spark optimization, and distributed data processing. • Familiarity with multi-cloud architecture and secure data movement. • Data Engineering Skills: Proficiency in Python, experience with Apache Airflow, DBT, and scalable ETL/ELT frameworks. • AI Integration: Knowledge of MLflow, SageMaker, Vertex AI, or Azure ML for deploying models at scale. • Governance & Security: Understanding of data lineage, cataloging tools, and compliance standards (GDPR, HIPAA, SOC2). • Soft Skills: Analytical mindset, excellent communication, and ability to explain technical concepts to both engineers and business stakeholders. • Experience working in Agile environments and collaborating with cross-functional teams. • English bilingual proficiency. • Preferred Certifications: Databricks Certified Data Engineer (Associate or Professional), Snowflake SnowPro Core / Advanced Architect, AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, Microsoft Certified: Azure Data Engineer or AI Engineer Associate.

🏖️ Benefits

• Equality in compensation has been our practice since ITX started in 1997. • ITX believes that market-based pay ensures fair and equitable compensation for our worldwide team members and pay that is based on the market, not on who has the best negotiation skills. • At ITX, you’ll never discover that someone in the same job with the same experience makes more than you, or that there are pay gaps based on race, gender, disability, or age. • How do our team members experience market-based pay at ITX? We gather market data to benchmark each position in our candidates’ and team members’ locations and use these benchmarks for candidate offers and to perform regular compensation reviews for our team members. • You’ll never have to worry about asking for a pay raise again. At least once a year ITX automatically adjusts pay when the benchmark is higher than our team member’s compensation.