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[Hiring] Senior Data Engineer @Sequoia Connect

Remote - US, CA, BR, CO, AR, CL, VE, BO, EC, GF, GY, PY, PE, SR, UY, MX, CR, SV, GT, HN, NI, PA, DO, PR, BS, GP, HT, JM, MQ, MS, GB, DE, FR, EE, PT, HU, PL, UA, RO, BG, CZ, SK, BY, MD, SE, GR, BE, IT, IE, CH, NL, FI, MT, DK, LT, HR, ES, AT, BA, IS, LU, MK, ME, NO, RS, SI, AL, CY, LV, MC, ZA, EG, DZ, AO, BJ, BW, BF, BI, CM, CV, CF, TD, CG, CI, CD, GQ, ER, ET, GA, GM, GH, GN, GW, KE, LS, LR, LY, MG, MW, ML, MR, MU, YT, MA, MZ, NA, NE, NG, RE, RW, SN, SC, SL, SO, SS, SD, SZ, TZ, TG, TN, UG, ZM, ZW, GE, TR, IL, AE, AM, AZ, BH, IQ, JO, KW, LB, OM, QA, SA, PS, YE, IN, JP, PH, PK, TH, SG, VN, TW, ID, KH, LA, MY, MM, KR, CN, AF, BD, BT, KZ, KG, MV, MN, NP, LK, TJ, TM, UZ, AU, PG, KI, PW, PF, TV, NZ · senior
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Remote - US, CA, BR, CO, AR, CL, VE, BO, EC, GF, GY, PY, PE, SR, UY, MX, CR, SV, GT, HN, NI, PA, DO, PR, BS, GP, HT, JM, MQ, MS, GB, DE, FR, EE, PT, HU, PL, UA, RO, BG, CZ, SK, BY, MD, SE, GR, BE, IT, IE, CH, NL, FI, MT, DK, LT, HR, ES, AT, BA, IS, LU, MK, ME, NO, RS, SI, AL, CY, LV, MC, ZA, EG, DZ, AO, BJ, BW, BF, BI, CM, CV, CF, TD, CG, CI, CD, GQ, ER, ET, GA, GM, GH, GN, GW, KE, LS, LR, LY, MG, MW, ML, MR, MU, YT, MA, MZ, NA, NE, NG, RE, RW, SN, SC, SL, SO, SS, SD, SZ, TZ, TG, TN, UG, ZM, ZW, GE, TR, IL, AE, AM, AZ, BH, IQ, JO, KW, LB, OM, QA, SA, PS, YE, IN, JP, PH, PK, TH, SG, VN, TW, ID, KH, LA, MY, MM, KR, CN, AF, BD, BT, KZ, KG, MV, MN, NP, LK, TJ, TM, UZ, AU, PG, KI, PW, PF, TV, NZ
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Senior
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Data Engineer jobs
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Role Description We are currently searching for a Senior Data Engineer : Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at a large scale, pushing the boundaries of data processing and model enablement. Build and maintain robust ETL/ELT pipelines for the ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms. Develop high-performance data processing jobs using PySpark/Spark and Python on data platforms such as Cloudera and Databricks.

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns. Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases. Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features.

Qualifications Strong hands-on experience in data engineering, building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms, specifically Databricks). High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products. Hands-on experience with cloud data platforms such as Databricks and Snowflake (Databricks preferred).

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend. Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability. Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders. Experience developing Java-based applications is an added advantage.

Familiarity with cloud-native foundations or AI coding assistants. Requirements Advanced Oral English for seamless collaboration with global teams. Advanced Spanish. Benefits Flexible work arrangement: Remote.

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