Sr. Data Analyst

Data EngineerLocation: Dallas, TXThree days work from office hybrid role (as of now)Pay range: *** - *** per annum including any bonuses or variable payThis company offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.This is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator.Required experience: 8-12+ years of experience in data engineering, with at least 3-5 years focused on MarTech, CDP, and data warehousing.Job Requirements:Bachelor's or master's degree in computer science, Information Systems, or related fieldHands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestrationStrong background in building and maintaining data warehouse solutions on SnowflakeProficiency in SQL, Python, or other programming languages for data processing and automationExperience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow managementProficiency in real-time data processing (Spark Streaming, Flink, Kafka Streams)Experience with cloud data warehouses, Snowflake, and data lakes (Delta Lake, Iceberg)Familiarity with NoSQL (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) is highly desirableExperience with batch streaming pipelines (Kafka, Kinesis, Pub/Sub)Experience with Azure cloud platforms, Azure Event Hubs and their integration with SnowflakeUnderstanding of marketing technologies, customer data platforms, and data integration challengesKnowledge of data quality, data governance, and security practices in data engineeringStrong problem-solving skills and ability to optimize data processes for performance and scalabilityGood communication and teamwork skills to collaborate with data architects, analysts, and marketing teamsRelevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plus